Are you an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our US Delivery Center - we are breaking the mold of a typical Delivery Center. Our US Delivery Centers have been growing since 2014 with significant, continued growth on the horizon. Interested? Read more about our opportunity below ... Work you'll do/Responsibilities + Work with the team to evaluate business needs and priorities, liaise with key business partners and address team needs related to data systems and management. + Translate business requirements into technical specifications; establish and define details, definitions, and requirements of applications, components and enhancements. + Participate in project planning; identifying milestones, deliverables and resource requirements; tracks activities and task execution. + Generate design, development, test plans, detailed functional specifications documents, user interface design, and process flow charts for execution of programming. + Develop data pipelines / APIs using Python, SQL, potentially Spark and AWS, Azure or GCP Methods. + Use an analytical, data-driven approach to drive a deep understanding of fast changing business. + Build large-scale batch and real-time data pipelines with data processing frameworks in AWS, Azure or GCP cloud platform. + Moving data from on-prem to cloud and cloud data conversions. The Team Artificial Intelligence & Data Engineering: In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. Artificial Intelligence & Data Engineering will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms. Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions. Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements. Qualifications Required + 3+ years of experience in data engineering with an emphasis on data analytics and reporting. + 3+ years of experience with at least one of the following cloud platforms: Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), others. + 3+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Cassandra, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Data Warehouse, Databricks, etc.). + 3+ years of experience in the design and build of data extraction, transformation, and loading processes by writing custom data pipelines. + 3+ years of experience with one or more of the follow scripting languages: Python, SQL, Kafka and/or other. + 3+ years of experience designing and building solutions utilizing various Cloud services such as EC2, S3, EMR, Kinesis, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, etc. + Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline, or equivalent experience + Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. + Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. This may include overnight travel. + Must be able to obtain the required level of security clearance for this role + Must live in a commutable distance (approximately 100-mile radius) to one of the following Delivery locations: Atlanta, GA; Charlotte, NC; Dallas, TX; Gilbert, AZ; Houston, TX; Lake Mary, FL; Mechanicsburg, PA; Philadelphia, PA with the ability to commute to assigned location for the day, without the need for overnight accommodations + Expectation to co-locate in your designated Delivery location up to 30% of the time based on business needs. This may include a maximum of 10% overnight client/project travel Preferred + AWS, Azure and/or Google Cloud Platform Certification. + Master's degree or higher. + Expertise in one or more programming languages, preferably Scala, PySpark and/or Python. + Experience working with either a Map Reduce or an MPP system on any size/scale. + Experience working with agile development methodologies such as Sprint and Scrum. + Must be able to obtain the required level of security clearance for this role Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Are you an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our US Delivery Center - we are breaking the mold of a typical Delivery Center. Our US Delivery Centers have been growing since 2014 with significant, continued growth on the horizon. Interested? Read more about our opportunity below ... Work you'll do/Responsibilities + Work with the team to evaluate business needs and priorities, liaise with key business partners and address team needs related to data systems and management + Translate business requirements into technical specifications; establish and define details, definitions, and requirements of applications, components and enhancements + Participate in project planning; identifying milestones, deliverables and resource requirements; tracks activities and task execution. + Generate design, development, test plans, detailed functional specifications documents, user interface design, and process flow charts for execution of programming + Develop data pipelines / APIs using Python, SQL, potentially Spark and AWS, Azure or GCP Methods + Use an analytical, data-driven approach to drive a deep understanding of fast changing business + Build large-scale batch and real-time data pipelines with data processing frameworks in AWS, Azure or GCP cloud platform + Moving data from on-prem to cloud and cloud data conversions The Team Artificial Intelligence & Data Engineering: In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. Artificial Intelligence & Data Engineering will work with our clients to: + Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms + Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions + Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Qualifications Required + 6+ years of experience in data engineering with an emphasis on data analytics and reporting + 6+ years of experience with at least one of the following cloud platforms: Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), others + 6+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Cassandra, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Data Warehouse, Databricks, etc.) + 6+ years of experience in the design and build of data extraction, transformation, and loading processes by writing custom data pipelines + 6+ years of experience with one or more of the follow scripting languages: Python, SQL, Kafka and/or other + 6+ years of experience designing and building solutions utilizing various Cloud services such as EC2, S3, EMR, Kinesis, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, etc. + Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline, or equivalent experience + Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. + Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. This may include overnight travel. + Must be able to obtain the required level of security clearance for this role + Must live in a commutable distance (approximately 100-mile radius) to one of the following Delivery locations: Atlanta, GA; Charlotte, NC; Dallas, TX; Gilbert, AZ; Houston, TX; Lake Mary, FL; Mechanicsburg, PA; Philadelphia, PA with the ability to commute to assigned location for the day, without the need for overnight accommodations + Expectation to co-locate in your designated Delivery location up to 30% of the time based on business needs. This may include a maximum of 10% overnight client/project travel Preferred + AWS, Azure and/or Google Cloud Platform Certification + Master's degree or higher + Expertise in one or more programming languages, preferably Scala, PySpark and/or Python + Experience working with either a Map Reduce or an MPP system on any size/scale + Experience working with agile development methodologies such as Sprint and Scrum Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html #LI-JRK #engcamp2024 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

In this age of disruption, organizations need to navigate the future with confidence by tapping into the power of data analytics, robotics, and cognitive technologies such as Artificial Intelligence (AI). Our Strategy & Analytics portfolio helps clients leverage rigorous analytical capabilities and a pragmatic mindset to solve the most complex of problems. By joining our team, you will play a key role in helping to our clients uncover hidden relationships from vast troves of data and transforming the Government and Public Services marketplace. Work you'll do The Cloud Data Engineer will design future-state, modern data architecture for transformation at the enterprise level using advanced cloud architectural principles. Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure). The team Deloitte's Government and Public Services (GPS) practice - our people, ideas, technology and outcomes-is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of over 15,000+ professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. The GPS AI & Data Engineering offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients. Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights to decision-makers. Our practitioners give special attention to the interplay between data and the business processes that produce it and the decision-makers that consume insights. Qualifications Required: + Bachelor's Degree in Computer Science or related field + 2+years of data engineering and architecture experience + 2+ years of experience developing pipelines and cloud analytics (GCP, AWS or Azure) + 2+ years experience with Snowflake and/or Databricks + Active TS/SCI or above government security clearance required + Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future Preferred: + 2+ years of prior professional services or federal consulting experience + Creativity and innovation - desire to learn and apply new technologies, products, and libraries + Strong written and verbal communication skills + Strong organizational skills Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html #LI-JRK #engcamp2024 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

In this age of disruption, organizations need to navigate the future with confidence by tapping into the power of data analytics, robotics, and cognitive technologies such as Artificial Intelligence (AI). Our Strategy & Analytics portfolio helps clients leverage rigorous analytical capabilities and a pragmatic mindset to solve the most complex of problems. By joining our team, you will play a key role in helping to our clients uncover hidden relationships from vast troves of data and transforming the Government and Public Services marketplace. Work you'll do Deloitte is seeking a data engineer to work in a variety of settings to develop and design data pipelines to support end-to-end solutions. Candidate will build systems that collect, manage, and convert raw data into usable information for multiple purposes to include but not limited to, IT application usage, reporting, applicant processing, etc. The team Deloitte's Government and Public Services (GPS) practice - our people, ideas, technology and outcomes-is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of over 15,000+ professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. The GPS AI & Data Operations offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients. Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights to decision-makers. Our practitioners give special attention to the interplay between data and the business processes that produce it and the decision-makers that consume insights. Qualifications Required: Bachelor's Degree in a relevant field Must live (or be willing to relocate to) the DC Metro area, and willing to report on client site 3-4x a week 6+ years of developing and maintaining artifacts i.e., schemas, data dictionaries, and transforms related to ETL processes 6+ years of experience developing and designing data pipelines to support an end-to-end solution. 6+ years experience integrating data pipelines with AWS cloud services to extract meaningful insights. 6+ years experience designing and developing robust and functional dataflows to support raw data and expected data. Must have an Active TS/SCI or above government security clearance Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future Preferred: 4+ years of prior professional services or federal consulting experience, preferably in an Agile environment Creativity and innovation - desire to learn and apply new technologies, products, and libraries Strong written and verbal communication skills Strong organizational skills Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html #LI-JRK #engcamp2024 Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. Learn more about our inclusive culture. Our purpose Deloitte's purpose is to make an impact that matters for our clients, our people, and in our communities. We are creating trust and confidence in a more equitable society. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. We are focusing our collective efforts to advance sustainability, equity, and trust that come to life through our core commitments. Learn more about Deloitte's purpose, commitments, and impact. Professional development From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

In this age of disruption, organizations need to navigate the future with confidence by tapping into the power of data analytics, robotics, and cognitive technologies such as Artificial Intelligence (AI). Our Strategy & Analytics portfolio helps clients leverage rigorous analytical capabilities and a pragmatic mindset to solve the most complex of problems. By joining our team, you will play a key role in helping to our clients uncover hidden relationships from vast troves of data and transforming the Government and Public Services marketplace. Work you'll do The Cloud Data Engineer will design future-state, modern data architecture for transformation at the enterprise level using advanced cloud architectural principles. Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure). The team Deloitte's Government and Public Services (GPS) practice - our people, ideas, technology and outcomes-is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of over 15,000+ professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. The GPS AI & Data Engineering offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients. Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights to decision-makers. Our practitioners give special attention to the interplay between data and the business processes that produce it and the decision-makers that consume insights. Qualifications Required: + Bachelor's Degree + 2+years of data engineering and architecture experience + 2+ years of experience cloud analytics (GCP, AWS or Azure) + 2+ years experience with Snowflake and/or Databricks + Active Top Secret or above government security clearance required + Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future Preferred: + 2+ years of prior professional services or federal consulting experience + Creativity and innovation - desire to learn and apply new technologies, products, and libraries + Strong written and verbal communication skills + Strong organizational skills Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html #LI-JRK #engcamp2024 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Are you an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our US Delivery Center - we are breaking the mold of a typical Delivery Center. Our US Delivery Centers have been growing since 2014 with significant, continued growth on the horizon. Interested? Read more about our opportunity below ... Work you'll do/Responsibilities This Data Engineer will:<ul> <li> Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks based on mission needs and objectives. </li> <li> Work closely with cross-functional teams to understand data requirements and design optimal data models and architectures is preferred. </li> <li> Optimize data pipelines ensuring scalability, reliability, and high-performance processing as well as providing innovative solutions to troubleshoot complex data-related problems with large datasets. </li> </ul> The Team Artificial Intelligence & Data Engineering: In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. Artificial Intelligence & Data Engineering will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms. Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions. Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements. Qualifications Required <ul> <li> Active Secret Clearance required </li> <li> Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline, or equivalent experience </li> <li> 2+ years of data engineering experience </li> <li> 2+ years of experience with ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks </li> <li> 2+ years of experience in government consulting </li> <li> Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. </li> <li> Must live in a commutable distance (approximately 100-mile radius) to one of the following Delivery locations: Atlanta, GA; Charlotte, NC; Dallas, TX; Gilbert, AZ; Houston, TX; Lake Mary, FL; Mechanicsburg, PA; Philadelphia, PA with the ability to commute to assigned location for the day, without the need for overnight accommodations </li> <li> Expectation to co-locate in your designated Delivery location up to 30% of the time based on business needs. This may include a maximum of 10% overnight client/project travel </li> </ul> Preferred <ul> <li> AWS, Azure and/or Google Cloud Platform Certification. </li> <li> Experience working with agile development methodologies such as Sprint and Scrum. </li> <li> Experience government consulting/clients </li> <li> Strong problem-solving skills and ability to solve complex data-related issues </li> <li> Data governance experience </li> </ul>Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. Learn more about our inclusive culture. Our purpose Deloitte's purpose is to make an impact that matters for our clients, our people, and in our communities. We are creating trust and confidence in a more equitable society. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. We are focusing our collective efforts to advance sustainability, equity, and trust that come to life through our core commitments. Learn more about Deloitte's purpose, commitments, and impact. Professional development From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

We are looking for Candidates who are having experience in AWS Data Engineer . Experience Required: 5+ years.Location: Bengaluru, Karnataka, India Key Responsibilities:Build & manage ETL pipelines using Python , PySpark & AWS Glue.Process and store data on AWS S3 & optimize queries in Redshift.Develop serverless solutions with AWS Lambda & design workflows with Step Functions.Ensure high-performance.Ensure high-performance, scalable data solutions using cloud technologies.

Hi, We are looking for Candidates who are having experience as GCP Data Engineer. Experience Required: 5+ years.Location: Bengaluru, Karnataka, India Responsibilities:BigQuery Development & Optimization:Write and optimize complex SQL queries for efficient data processing and retrieval in BigQuery.Analyze query performance and implement optimization techniques such as partitioning, clustering, and caching.Monitor BigQuery usage and manage cost-effective scaling of resources.Data Architecture & Pipelines:Design, build, and maintain robust ETL/ELT data pipelines to ingest and process large-scale data.Collaborate with data scientists, analysts, and other stakeholders to ensure data quality and availability.Google Cloud Platform Expertise:Utilize GCP services like Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, and BigQuery for data processing and orchestration.Implement secure and scalable cloud

Data Engineer Deloitte Jobs

Cloud Data Engineer Solution Specialist
December 19, 2024

Cloud Data Engineer Senior Solution Specialist
December 19, 2024

Cloud Data Engineer Tampa Fl Active Security Clearance Required
December 19, 2024

Senior Solutional Data Engineer Active Tssci Required
December 19, 2024

Cloud Data Engineer Active Security Clearance Required
December 17, 2024

Cloud Data Engineer Solution Specialist
December 8, 2024

Data Engineer
December 3, 2024

Aws Data Engineer
December 1, 2024

Gcp Data Engineer
December 1, 2024

Quick filters

Top companies

Data Engineer Deloitte Jobs

Cloud Data Engineer Solution SpecialistDecember 19, 2024

Cloud Data Engineer Senior Solution SpecialistDecember 19, 2024

Cloud Data Engineer Tampa Fl Active Security Clearance RequiredDecember 19, 2024

Senior Solutional Data Engineer Active Tssci RequiredDecember 19, 2024

Cloud Data Engineer Active Security Clearance RequiredDecember 17, 2024

Cloud Data Engineer Solution SpecialistDecember 8, 2024

Data EngineerDecember 3, 2024

Aws Data EngineerDecember 1, 2024

Gcp Data EngineerDecember 1, 2024