Specialty/Competency: Data, Analytics & AI

Industry/Sector: Technology

Time Type: Full time

Travel Requirements: Up to 80%

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

Craft and convey clear, impactful and engaging messages that tell a holistic story.

Apply systems thinking to identify underlying problems and/or opportunities.

Validate outcomes with clients, share alternative perspectives, and act on client feedback.

Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.

Deepen and evolve your expertise with a focus on staying relevant.

Initiate open and honest coaching conversations at all levels.

Make difficult decisions and take action to resolve issues hindering team effectiveness.

Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

Minimum Degree Required

Bachelor's Degree

Minimum Year(s) of Experience

8 year(s)

Certification(s) Required

GCP Professional Cloud Architect, GCP Data Engineer

QuickBase App Builder Certification and/ or QuickBase Expert Builder Certification

Preferred Qualifications

Certification(s) Preferred

Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate

Preferred Knowledge/Skills

Demonstrates in-depth abilities and/or success in one or many of the following areas:

Designing and implementing comprehensive data architecture strategies that meet current and future business needs using Google Cloud services;

Developing and documenting data models, data flow diagrams, and data architecture guidelines;

Assessing that data architecture is compliant with data governance and data security policies;

Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions leveraging Google Cloud and Google eco-system solutions;

Evaluating and recommending new data technologies and tools to enhance data architecture;

Evaluating data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management;

Developing leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management;

Leading the implementation of GCP based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets;

Architecting, designing, building and optimizing ETL/ELT pipelines for data ingestion, processing, and storage;

Developing and deploying scalable data storage solutions using GCP services;

Architecting, designing,and implementing scalable data pipelines and workflows using GCP tools like Dataflow, Dataprep, Data Fusion, BigQuery, and Cloud Composer, ensuring robust data integration, transformation, and analytics capabilities with advanced BI platforms such as Looker and/ or Tableau;

Designing, implementing, and managing workflows using low-code/no-code platforms like Quickbase and /or Pega to streamline processes, integrate with enterprise systems, and build scalable, automation-driven applications;

Architecting, designing and implementing data warehouses and data lakes, ensuring data is organized and accessible;

Developing frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management;

Architecting and overseeing implementation of IAM roles and policies to manage access and permissions within GCP;

Developing automation strategies leveraging Terraform for infrastructure as code (IaC) deployments;

Architecting and implementing services using GCP DevOps services to build and deploy DevOps pipelines;

Developing data security industry standard practices using GCP;

Optimizing Cloud resources for cost, performance, and scalability;

Demonstrating strong proficiency in SQL and experience with relational databases;

Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus;

Experience with machine learning and data science workflows is a plus;

Knowledge of data governance and data security industry practices;

Possessing strong analytical, problem-solving, and communication skill; and,

Working independently and as part of a team in a fast-paced environment.

Demonstrates in-depth level abilities with, and/or a proven record of success directing efforts in the following areas:

Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures;

Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback;

Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment;

Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; and,

Coaching and collaborating with associates who assist with this work, including providing coaching, feedback, and guidance on work performance.

Learn more about how we work: https://pwc.to/how-we-work

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.

For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

The salary range for this position is: $130,000 - $256,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

#LI-Hybrid

Specialty/Competency: Data, Analytics & AI

Industry/Sector: Technology

Time Type: Full time

Travel Requirements: Up to 80%

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

Analyse and identify the linkages and interactions between the component parts of an entire system.

Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.

Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.

Develop skills outside your comfort zone, and encourage others to do the same.

Effectively mentor others.

Use the review of work as an opportunity to deepen the expertise of team members.

Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.

Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

Minimum Degree Required

Bachelor's Degree

Required Field(s) of Study

Management Information Systems,Computer and Information Science,Systems Engineering,Electrical Engineering,Chemical Engineering,Industrial Engineering,Mathematics,Statistics,Mathematical Statistics

Minimum Year(s) of Experience

5 year(s)

Certification(s) Required

GCP Professional Cloud Architect, GCP Data Engineer

QuickBase App Builder Certification and/ or QuickBase Expert Builder Certification

Preferred Qualifications

Certification(s) Preferred

Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate

Preferred Knowledge/Skills

Demonstrates extensive abilities and/or success in one or many of the following areas:

Design and implement comprehensive data architecture strategies that meet current and future business needs using Google Cloud services;

Develop and document data models, data flow diagrams, and data architecture guidelines;

Ensure data architecture is compliant with data governance and data security policies;

Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions leveraging Google Cloud and Google eco-system solutions;

Evaluate and recommend new data technologies and tools to enhance data architecture;

Evaluate data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management;

Develop leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management;

Lead the implementation of GCP based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets;

Architect, design, build and optimize ETL/ELT pipelines for data ingestion, processing, and storage;

Develop and deploy scalable data storage solutions using GCP services;

Architect, design, and implement scalable data pipelines and workflows using GCP tools like Dataflow, Dataprep, Data Fusion, BigQuery, and Cloud Composer, ensuring robust data integration, transformation, and analytics capabilities with advanced BI platforms such as Looker and/ or Tableau;

Design, implement, and manage workflows using low-code/no-code platforms like Quickbase and /or Pega to streamline processes, integrate with enterprise systems, and build scalable, automation-driven applications;

Architect, Design and implement data warehouses and data lakes, ensuring data is organized and accessible;

Develop frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management;

Architect and oversee implementation of IAM roles and policies to manage access and permissions within GCP;

Develop automation strategies leveraging Terraform for infrastructure as code (IaC) deployments;

Architect and implement services using GCP DevOps services to build and deploy DevOps pipelines;

Develop data security best practices using GCP;

Optimize Cloud resources for cost, performance, and scalability;

Possess strong proficiency in SQL and experience with relational databases;

Demonstrate familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus;

Experience with machine learning and data science workflows is a plus;

Knowledge of data governance and data security best practices;

Possess proven analytical, problem-solving, and communication skill; and,

Work independently and as part of a team in a fast-paced environment.

Demonstrates extensive level abilities with, and/or a proven record of success directing efforts in the following areas:

Apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures;

Understand personal and team roles, contribute to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback;

Prioritize and handle multiple tasks, research and analyze pertinent client, industry and technical matters, utilize problem-solving skills, and communicate in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment;

Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; and,

Coach and collaborate with associates who assist with this work, including providing coaching, feedback, and guidance on work performance.

Learn more about how we work: https://pwc.to/how-we-work

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.

For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

The salary range for this position is: $100,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

#LI-Hybrid

Are you ready to step up to the New and take your technology expertise to the next level?

Join Accenture and help transform leading organizations and communities around the world.  The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance.  Choose Accenture and make delivering innovative work part of your extraordinary career.

As part of our Google Cloud Platform practice, you will lead technology innovation for our clients through robust delivery of world-class solutions.   There will never be a typical day and that’s why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a growing network of technology experts who are highly collaborative taking on today’s biggest, most complex business challenges.  We will nurture your talent in an inclusive culture that values diversity.  Come grow your career in technology at Accenture!

Google Cloud Platform (GCP) Data Engineer will be responsible for architecting transformation and modernization of enterprise data solutions on GCP integrating native GCP services and 3rd party data technologies. A solid experience and understanding of considerations for large scale architecting, solutioning and operationalization of data warehouses, data lakes and analytics platforms on GCP is a must . We are looking for candidates who have a broad set of technology skills across these areas and who can demonstrate an ability to design right solutions with appropriate combination of GCP and 3rd party technologies for deploying on GCP cloud.

Key responsibilities may include:

Lead a team of data engineers in designing, developing, testing, and deploying high performance data analytics solutions in GCP.

As a Data Engineer, work with implementation teams from concept to operations, providing deep technical subject matter expertise for successfully deploying large scale data solutions in the enterprise, using modern data/analytics technologies on premise and cloud

Experience in building solution architecture, provision infrastructure, secure and reliable data-centric services and application in GCP

Implement end-to-end data analytics solutions (from data ingestion through visualization) for large-scale, complex client environments

Analyze and understand Big Data and analytical technologies on GCP and provide thought leadership to clients to assist with defining their architecture, data, analytics strategies

Communicate complex technical topics to non-technical business and sr. executives

Experience working with recommendation engines, data pipelines, or distributed machine learning and experience with data analytics and data visualization techniques and software

Supporting Data migration and transformation projects.

Knowledge on Google AutoML framework to build intelligence into the data pipelines.

Travel may be required for this role.  The amount of travel will vary from 25% to 100% depending on business need and client requirements.

GCP Services : Minimum of 5 year's experience in any cloud platform including 2 years of Deep experience with GCP data and analytics services including Spark, Cloud DataProc , Cloud Dataflow, Apache Beam, BigTable , Cloud BigQuery , Cloud PubSub , Cloud Functions

Data Warehousing & Pipelines: Minimum of 3 years of p roven ability to re-architect and re-platform on-premise data warehouses to GCP, and design/build production data pipelines within hybrid architectures using Java, Python, or Scala.

Data Platform Architecture: Minimum of 3 years of e xpertise in architecting and implementing next-generation data and analytics platforms on GCP, including data engineering, ingestion, and curation functions using GCP native or custom programming.

Data Lake & Ingestion: Minimum of 3 years of h ands-on experience architecting & designing data lakes on GCP, and implementing data ingestion solutions using GCP native services or 3rd-party tools like Talend/Informatica

Data Modeling & Optimization: Minimum of 3 years of p roficiency in designing and optimizing data models on GCP using BigQuery and BigTable

Vertex AI : Minimum of 2 years of p roficiency in using Google Cloud's Vertex AI platform for building, deploying, and managing machine learning models, including GenAI models.

MLOps for GenAI : Minimum of 2 years of e xperience in implementing MLOps practices for the development, deployment, and monitoring of GenAI models .

Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree , must have a minimum 6 years work experience)

Preferred Qualifications

Metadata Management, Governance & Security: Experience architecting and implementing metadata management, data governance, and security for data platforms on GCP.

Performance Engineering: Ability to design operations architecture and conduct performance engineering for large-scale data lakes in production

Hadoop/NoSQL: Experience architecting and operating large production years Hadoop /NoSQL clusters on-premise or in the cloud

Self-Service Data Prep: Familiarity with introducing and operationalizing self-service data preparation tools (e.g., Trifacta, Paxata ) on GCP

SQL : 3 + years experience writing complex SQL queries and stored procedures

Generative AI Studio: Experience with Generative AI Studio for prototyping and experimenting with generative AI models.

Model Garden: Familiarity with Google's Model Garden and its offerings for accessing and deploying pre-trained GenAI models.

Certifications: Google Certified Professional Data Engineer

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New York or Washington as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply.

Information on benefits is here. (https://www.accenture.com/us-en/careers/local/total-rewards)

Role Location Annual Salary Range

California $73,800 to $220,400

Colorado $73,800 to $190,400

District of Columbia $78,500 to $202,700

Illinois $68,300 to $190,400

Minnesota $73,800 to $190,400

Maryland $68,300 to $176,300

New York $68,300 to $220,400

Washington $78,500 to $202,700

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (https://www.accenture.com/us-en/about/inclusion-diversity/us-workforce)

Equal Employment Opportunity Statement

Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Accenture is committed to providing veteran employment opportunities to our service men and women.

For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement (https://www.accenture.com/content/dam/accenture/final/accenture-com/document/Annual-Policy-Statement-Regarding-EEO-2023-Applicant.pdf#zoom=50) .

Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email (https://www.accenture.com/us-en/about/contact-us) or speak with your recruiter.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

Are you ready to step up to the New and take your technology expertise to the next level? Join Accenture and help transform leading organizations and communities around the world.? The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance.? Choose Accenture and make delivering innovative work part of your extraordinary career. As part of our Google Cloud Platform practice, you will lead technology innovation for our clients through robust delivery of world-class solutions.?? There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a growing network of technology experts who are highly collaborative taking on todays biggest, most complex business challenges.? We will nurture your talent in an inclusive culture that values diversity.? Come grow your career in technology at Accenture! Google Cloud Platform (GCP) Data Engineer will be responsible for architecting transformation and modernization of enterprise data solutions on GCP integrating native GCP services and 3rd party data technologies. A solid experience and understanding of considerations for large scale architecting, solutioning and operationalization of data warehouses, data lakes and analytics platforms on GCP is a must . We are looking for candidates who have a broad set of technology skills across these areas and who can demonstrate an ability to design right solutions with appropriate combination of GCP and 3rd party technologies for deploying on GCP cloud. Key responsibilities may include: + Lead a team of data engineers in designing, developing, testing, and deploying high performance data analytics solutions in GCP. + As a Data Engineer, work with implementation teams from concept to operations, providing deep technical subject matter expertise for successfully deploying large scale data solutions in the enterprise, using modern data/analytics technologies on premise and cloud + Experience in building solution architecture, provision infrastructure, secure and reliable data-centric services and application in GCP + Implement end-to-end data analytics solutions (from data ingestion through visualization) for large-scale, complex client environments + Analyze and understand Big Data and analytical technologies on GCP and provide thought leadership to clients to assist with defining their architecture, data, analytics strategies + Communicate complex technical topics to non-technical business and sr. executives + Experience working with recommendation engines, data pipelines, or distributed machine learning and experience with data analytics and data visualization techniques and software + Supporting Data migration and transformation projects. + Knowledge on Google AutoML framework to build intelligence into the data pipelines. Travel may be required for this role. ?The amount of travel will vary from 25% to 100% depending on business need and client requirements. + GCP Services : Minimum of 5 year's experience in any cloud platform including 2 years of Deep experience with GCP data and analytics services including Spark, Cloud DataProc , Cloud Dataflow, Apache Beam, BigTable , Cloud BigQuery , Cloud PubSub , Cloud Functions + Data Warehousing & Pipelines: Minimum of 3 years of p roven ability to re-architect and re-platform on-premise data warehouses to GCP, and design/build production data pipelines within hybrid architectures using Java, Python, or Scala. + Data Platform Architecture: Minimum of 3 years of e xpertise in architecting and implementing next-generation data and analytics platforms on GCP, including data engineering, ingestion, and curation functions using GCP native or custom programming. + Data Lake & Ingestion: Minimum of 3 years of h ands-on experience architecting & designing data lakes on GCP, and implementing data ingestion solutions using GCP native services or 3rd-party tools like Talend/Informatica + Data Modeling & Optimization: Minimum of 3 years of p roficiency in designing and optimizing data models on GCP using BigQuery and BigTable + Vertex AI : Minimum of 2 years of p roficiency in using Google Cloud's Vertex AI platform for building, deploying, and managing machine learning models, including GenAI models. + MLOps for GenAI : Minimum of 2 years of e xperience in implementing MLOps practices for the development, deployment, and monitoring of GenAI models . + Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associates Degree , must have a minimum 6 years work experience)? Preferred Qualifications + Metadata Management, Governance & Security: Experience architecting and implementing metadata management, data governance, and security for data platforms on GCP. + Performance Engineering: Ability to design operations architecture and conduct performance engineering for large-scale data lakes in production + Hadoop/NoSQL: Experience architecting and operating large production years Hadoop /NoSQL clusters on-premise or in the cloud + Self-Service Data Prep: Familiarity with introducing and operationalizing self-service data preparation tools (e.g., Trifacta, Paxata ) on GCP + SQL : 3 + years experience writing complex SQL queries and stored procedures + Generative AI Studio: Experience with Generative AI Studio for prototyping and experimenting with generative AI models. + Model Garden: Familiarity with Google's Model Garden and its offerings for accessing and deploying pre-trained GenAI models. + Certifications: Google Certified Professional Data Engineer Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Maryland, New York or Washington as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. (https://www.accenture.com/us-en/careers/local/total-rewards) Role Location Annual Salary Range California $93,400 to $224,600 Colorado $93,400 to $194,100 District of Columbia $99,500 to $206,700 New York $86,500 to $224,600 Maryland $86,500 to $179,700 Washington $99,500 to $206,700 What We Believe We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (https://www.accenture.com/us-en/about/inclusion-diversity/us-workforce) Equal Employment Opportunity Statement Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Accenture is committed to providing veteran employment opportunities to our service men and women. For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement (https://www.accenture.com/content/dam/accenture/final/accenture-com/document/Annual-Policy-Statement-Regarding-EEO-2023-Applicant.pdf#zoom=50) . Requesting An Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email (https://www.accenture.com/us-en/about/contact-us) or speak with your recruiter. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

Data Engineer Jobs in Florham Park, NJ

Google Cloud Data Engineer Nocodelowcodesenior Manager
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Gcp Data Engineer
December 13, 2024

Gcp Data Engineer
December 5, 2024

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Data Engineer Jobs in Florham Park, NJ

Google Cloud Data Engineer Nocodelowcodesenior ManagerDecember 16, 2024

Google Cloud Data Engineer Nocode LowcodemanagerDecember 16, 2024

Gcp Data EngineerDecember 13, 2024