Spark Data Engineer
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Role details
Tech stack
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Requirements
- Active TS/SCI with Polygraph Clearance
- Demonstrated experience building and managing data pipelines
- Demonstrated experience with Python.
- Demonstrated experience with cloud computing using AWS services.
- Demonstrated experience processing data using Apache Spark.
- Demonstrated experience with an RDBMS (Postgres, Oracle, MySQL) and writing SQL queries.
- Demonstrated experience with Linux and shell scripting.
- Demonstrated experience analyzing data in different file formats like csv, xml, json, avro, parquet, etc.
- Demonstrated experience writing and validating unit tests.
What Would be Nice to Have
- Demonstrated experience in NiFi, Apache AirFlow, or an equivalent solution or tool for orchestrating data pipelines.
- Demonstrated experience with Java or Scala.
- Demonstrated experience administering an EMR/Spark cluster
- Demonstrated experience conducting performance tuning of a spark job
- Demonstrated experience developing cloud-based security solutions
- Demonstrated experience following a configuration mgmt. process to review and deploy code as part of releases
Benefits & conditions
Pay Range: At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We’re proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off.
Virginia Pay Range
$150,000-$250,000
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