Lead Data Engineer (AWS | Java | ETL)
3B Staffing LLC, Reston, VA, United States
Lead Data Engineer (AWS | Java | ETL)
Location : Hybrid. Candidates will need to work onsite in Reston, VA, once per month.
Duration:
1 year plus
Interview process-
Virtual interview then face to face interview onsite in Reston VA.
Local candidates only please
AWS (S3, Kafka, Redshift), ETL/ELT, Java/Scala, Spark, SQL, data modeling, and strong experience in building scalable data engineering platforms.
Local candidates only please. Candidates must reside in the Washington DC region. The client is not open to candidates willing to relocate
At least 10 years of experience leading data engineering and cross-functional teams 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
Location : Hybrid. Candidates will need to work onsite in Reston, VA, once per month.
Duration:
1 year plus
Interview process-
Virtual interview then face to face interview onsite in Reston VA.
Local candidates only please
AWS (S3, Kafka, Redshift), ETL/ELT, Java/Scala, Spark, SQL, data modeling, and strong experience in building scalable data engineering platforms.
Local candidates only please. Candidates must reside in the Washington DC region. The client is not open to candidates willing to relocate
At least 10 years of experience leading data engineering and cross-functional teams 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