AWS Cloud Data Engineer
Contract Length: 12 months
Interview Process: Video then F2F interview
Hybrid/Reston VA
- 4 submission slots
- Hybrid monthly visits required - DMV candidates only
- Seeking a very strong AWS cloud Data Engineer. Java will be the core skills but beyond that looking for a strong data engineer that can build data pipelines in AWS.
Seeking a Lead Level (10 years) AWS Data Engineer! The selected candidate will be responsible for Designing Building deploying maintaining and scaling cloud OR on-premise data solution and data platform with emphasis on reliability automation and performance.
This role will focus on leading the development of solutions and helping transform the companys platforms deliver data-driven meaningful insights and value to company.
ESSENTIAL FUNCTIONS:
- Lead the team to design configure implement monitor and manage all aspects of Data Integration activities. Defines and develop the Data Integration best practices for the data management environment of optimal performance and reliability.
- Develops and maintains infrastructure systems (e.g. data warehouses data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent MapReduce platform.
- Provides detailed guidance and performs work related to Modeling Data Warehouse solutions in the cloud OR on-premise. Understands Dimensional Modeling De-normalized Data Structures OLAP and Data Warehousing concepts.
- Oversees the delivery of engineering data initiatives and projects. Supports long term data initiatives as well as Ad-Hoc analysis and ELT/ETL activities. Creates data collection frameworks for structured and unstructured data. Applies data extraction transformation and loading techniques in order to connect large data sets from a variety of sources.
We are seeking candidates that resides in the Wash DC Maryland or Virginia metro area for monthly onsite visits in Reston VA along with a final round F2F interview in Reston VA.
Required Skills
- At Least 10 years Experience in leading data engineering and cross functional team to implement scalable data platforms for optimal performance.
- Experience developing and updating ETL/ELT scripts.
- Hands-on experience with application development (Java) relational database layout development data modeling.
- Data Engineering on AWS platform preferably leveraging S3 Kafka Redshift and other AWS services. (at least 3 years)
- ETL/Data Integration Design and Development experience using Java/Scala Spark preferably on Cloudera Platform
- Expert Knowledge and understanding of SQL
- Strong Java Programming with enterprise scale experience (using Git Artifactory and other DevOps tools)
- Knowledge and understanding of database design and implementation concepts.
- Knowledge and understanding of data exchange formats and data movement concepts
- Strong technical and analytical and problem solving skills to troubleshoot to solve a variety of problems.
AWS Cloud Data Engineer Contract Length: 12 months Interview Process: Video then F2F interview Hybrid/Reston VA - 4 submission slots - Hybrid monthly visits required - DMV candidates only - Seeking a very strong AWS cloud Data Engineer. Java will be the core skills but beyond that looking for a s...
AWS Cloud Data Engineer
Contract Length: 12 months
Interview Process: Video then F2F interview
Hybrid/Reston VA
- 4 submission slots
- Hybrid monthly visits required - DMV candidates only
- Seeking a very strong AWS cloud Data Engineer. Java will be the core skills but beyond that looking for a strong data engineer that can build data pipelines in AWS.
Seeking a Lead Level (10 years) AWS Data Engineer! The selected candidate will be responsible for Designing Building deploying maintaining and scaling cloud OR on-premise data solution and data platform with emphasis on reliability automation and performance.
This role will focus on leading the development of solutions and helping transform the companys platforms deliver data-driven meaningful insights and value to company.
ESSENTIAL FUNCTIONS:
- Lead the team to design configure implement monitor and manage all aspects of Data Integration activities. Defines and develop the Data Integration best practices for the data management environment of optimal performance and reliability.
- Develops and maintains infrastructure systems (e.g. data warehouses data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent MapReduce platform.
- Provides detailed guidance and performs work related to Modeling Data Warehouse solutions in the cloud OR on-premise. Understands Dimensional Modeling De-normalized Data Structures OLAP and Data Warehousing concepts.
- Oversees the delivery of engineering data initiatives and projects. Supports long term data initiatives as well as Ad-Hoc analysis and ELT/ETL activities. Creates data collection frameworks for structured and unstructured data. Applies data extraction transformation and loading techniques in order to connect large data sets from a variety of sources.
We are seeking candidates that resides in the Wash DC Maryland or Virginia metro area for monthly onsite visits in Reston VA along with a final round F2F interview in Reston VA.
Required Skills
- At Least 10 years Experience in leading data engineering and cross functional team to implement scalable data platforms for optimal performance.
- Experience developing and updating ETL/ELT scripts.
- Hands-on experience with application development (Java) relational database layout development data modeling.
- Data Engineering on AWS platform preferably leveraging S3 Kafka Redshift and other AWS services. (at least 3 years)
- ETL/Data Integration Design and Development experience using Java/Scala Spark preferably on Cloudera Platform
- Expert Knowledge and understanding of SQL
- Strong Java Programming with enterprise scale experience (using Git Artifactory and other DevOps tools)
- Knowledge and understanding of database design and implementation concepts.
- Knowledge and understanding of data exchange formats and data movement concepts
- Strong technical and analytical and problem solving skills to troubleshoot to solve a variety of problems.
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