Data Engineer
1 week ago
ManTech is seeking a highly skilled Data Engineer to join our team in developing complex data analytical solutions for law enforcement personnel to assess risk of potential threats entering the country. As a Data Engineer, you will be responsible for developing large volume data sets sourced from multiple relational tables to allow data analysts and scientists to construct training sets for machine learned models and recurring reports & dashboards.
Responsibilities
Developing large volume data sets sourced from multiple relational tables
Working closely with government clients and technical teams to create, manage, and optimize scheduled Extract, Transform and Load (ETL) jobs and workflows
Data analysis, problem solving, investigation, and creative thinking to manage very large datasets for various analytical products
Assisting with the implementation of data migration/pipelines from on-prem to cloud/non-relational storage platforms
Responding to data queries/analysis requests from various groups within an organization
Creating and publishing regularly scheduled and/or ad hoc reports as needed
Requirements
Experience with relational databases and knowledge of query tools and/or BI tools like Power BI or OBIEE and data analysis tools
Experience with the Hadoop ecosystem, including HDFS, YARN, Hive, Pig, and batch-oriented and streaming distributed processing methods such as Spark, Kafka, or Storm
Strong experience in automating ETL jobs via UNIX/LINUX shell scripts and CRON jobs
Demonstrating a strong practical understanding of data warehousing from a production relational database environment
Strong experience using analytic functions within Oracle or similar tools within non-relational (MongoDB, Cassandra, etc.) database systems
Experience with Atlassian suite of tools such as Jira and Confluence
Knowledge of Continuous Integration & Continuous Development tools (CI/CD)
Preferred Qualifications
5+ years of experience in developing, maintaining, and optimizing complex Oracle PL/SQL packages to aggregate transactional data for consumption by data science/machine learning applications
10+ years of experience in working in large (80+ TB) complex data warehousing environment
Experience with one or more relational database systems such as Oracle, MySQL, Postgres, SQL server, with heavy emphasis on Oracle
Experience in architecting data engineering pipelines/data lakes within cloud services (AWS, GCP, etc.)
Experience with Amazon S3, Redshift, EMR, and Scala
Experience with migrating on-prem legacy database objects and data to the Amazon S3 cloud environment
Strong experience in converting JSON documents to targets such as Parquet, Postgres, and Redshift
Experience or familiarity with data science/machine learning and development experience for supervised and unsupervised learning with structured and unstructured datasets
Security Clearance Requirements
Must be a U.S. citizen with the ability to obtain CBP Suitability and Top Secret clearance
Physical Requirements
The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, which may involve delivering presentations.
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