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

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Publicis Sapient is looking for a Senior Associate Data Engineer to be part of our team of top-notch technologists. You will lead and deliver technical solutions for large-scale digital transformation projects. Working with the latest data technologies in the industry, you will be instrumental in helping our clients evolve for a more digital future. Your Impact: • Combine your technical expertise and problem-solving passion to work closely with clients, turning complex ideas into end-to-end solutions that transform our clients’ business • Translate client requirements to system design and develop a solution that delivers business value • Lead, design, develop and deliver large-scale data systems, data processing and data transformation projects • Automate data platform operations and manage the post-production system and processes • Conduct technical feasibility assessments and provide project estimates for the design and development of the solution • Mentor, help and grow junior team member
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Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the companys success. As a(n) [position title] within PNC's [name of division] organization, you will be based in [city/state location of position]. Job Profile <h1>Position Overview</h1>At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the companys success. As a( Data Engineer within PNC's Enterprise Fraud Organization (EFO), you will be based in Pittsburgh,-PA, Birmingham-AL or Cleveland-OH. Skills - Deep understanding of big data technologies such as Hadoop/HDFS, Azure, Kafka - Hands-on experience automating processes through scripting utilizing PowerShell, Python, PySpark, Slurm, or other tools - Familiarity with ETL tools such as Informatica, Oracle, Talend, or Snowflake - Experience monitoring and assessing enterprise data processes for the purposes of optimization and reliability - Ability to create, troubleshoot, and optimize advanced SQL queries in Impala and Hive - Experience in creating real time monitoring business intelligence solutions (Tableau experience preferred) - Self-motivated individual able to work with little supervision. Job Description - Monitors the availability of data replications, dashboard performance, and report generation against baseline metrics - Incident detection, resolution and/or escalation. Participation in root cause analysis and correction resulting in prevention. - Incorporation of new data sources to expand and improve the teams monitoring capabilities - Optimization of existing solutions to improve reliability and speed of business intelligence based monitoring - Communication and productive partnership skills with business leaders, analysts and engineers. - Documentation of solutions and maintenance of Bitbucket repository<h1>Job Description</h1><ul><li>Develops, supports and implements data services for multiple applications to meet business objectives and user requirements. Uses technical knowledge and industry experience to design, build and maintain technology solutions.</li><li>Works closely with users, developers, operations and business partners to define data service requirements and the data preparation process development.</li><li>Designs and builds data service infrastructure on multiple data platforms, according to key business processes and the overall workflow.</li><li>Develops and implements data solutions for multiple applications to ensure its scalability, availability and maintainability.</li><li>Implements data migration and transformation activities/processes to ensure the accuracy and security of data solutions.</li></ul>PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:<ul><li>Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.</li><li>Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.</li></ul><h1>Qualifications</h1>Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.<h2>Preferred Skills</h2>Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning<h2>Competencies</h2>Application Delivery Process, Big Data Management and Analytics, Business Intelligence, Data Analysis - Software, Data Architecture, Database Structures, Effective Communications, Problem Solving, Software Development Life Cycle<h2>Work Experience</h2>Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.<h2>Education</h2>Bachelors<h2>Certifications</h2>No Required Certification(s)<h2>Licenses</h2>No Required License(s)<h1>Benefits</h1>PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility*: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.To learn more about these and other programs, including benefits for full time and part-time employees, visit <a href="https://www.pncbenefits.com/" target="_blank">pncbenefits.com</a> > New to PNC.*For more information, please click on the following links:<a href="https://www.pncbenefits.com/timeaway.html" target="_blank">Time Away from Work</a><a href="https://www.pncbenefits.com/ft-benefits-overview.html" target="_blank">PNC Full-Time Benefits Summary</a><a href="https://www.pncbenefits.com/pt-benefits-overview.html" target="_blank">PNC Part-Time Benefits Summary</a><h1></h1><h1>Disability Accommodations Statement</h1>If an accommodation is required to participate in the application process, please contact us via email at <a target="_blank" href="mailto:AccommodationRequest@pnc.com">AccommodationRequest@pnc.com</a>. Please include accommodation request in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.<h1>Equal Employment Opportunity (EEO)</h1> PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.<h1>California Residents </h1>Refer to the <a target="_blank" href="https://content.pncmc.com/live/pnc/aboutus/HR/Onboarding/PNC_CCPA_Privacy_Disclosure_Employee.pdf">California Consumer Privacy Act Privacy Notice</a> to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

Specialty/Competency:  Data, Analytics & AI

Industry/Sector:  EUR X-Sector

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)

Preferred Qualifications

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

Design and implement comprehensive data architecture strategies that meet the current and future business needs;

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;

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

Build, maintain, and optimize ETL/ELT pipelines for data ingestion, processing, and storage across batch and real-time data processing;

Build, maintain, and optimize Data Quality rules leveraging DQ tools and/or other ETL/ELT tools;

Develop and deploy scalable data storage solutions using AWS, Azure and GCP services such as S3, Redshift, RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage etc.;

Implement data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services;

Design and manage data warehouses and data lakes, ensuring data is organized and accessible;

Monitor and troubleshoot data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management;

Implement IAM roles and policies to manage access and permissions within AWS, Azure, GCP;

Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments;

Use AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines;

Implement data security best practices using AWS, Azure, GCP, Snowflake or Databricks;

Optimize Cloud resources for cost, performance, and scalability;

Strong proficiency in SQL and experience with relational databases;

Proficient in programming languages such as Python, Java, or Scala;

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;

Strong analytical, problem-solving, and communication skill; and,

Ability to work independently and as part of a team in a fast-paced environment.

Demonstrates thought leader-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; 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: $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

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Data Engineer Jobs in Birmingham, AL

Google Cloud Data Engineer Nocodelowcodesenior ManagerDecember 16, 2024

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