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Big Data Engineer
Ref No.: 21-00509
Location: Chevy Chase, Maryland
  • 5+ years' experience with Relational Database Systems and SQL, designing, developing ETLs
  • 3+ Years of experience working in Azure environment delivering software.
  • Experience with Azure Data Products such as ADF, ADLS and Event Hub
  • 3+ years' experience in at least one scripting language (Python, JavaScript, Shell)
  • 3+ years' experience with Agile engineering practices and end to end automation of software delivery
  • Experience with Data Modeling, source to target mapping, automated testing frameworks
  • Developing new and enhancing existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components
  • Strong working knowledge of SQL and the ability to write, debug, and optimize SQL queries
  • Bachelor's degree in a computer related field or equivalent professional experience required
  • Data engineering experience focused on batch and real time data pipelines development using Spark, Python or Java; Data processing / data transformation using ETL tools, Azure Databricks platform (preferred)
  • Experience with Cloud Data Warehouse solutions experience (Snowflake, Azure DW, or Redshift);
  • Exposure to Cloud and Distributed Data Storage (HDFS, S3, ADLS, Cassandra, or other NoSQL storage systems)
  • Experience in Data integration technologies: Kafka, eventing/streaming, NiFi, Azure Data Factory
  • Complete software development lifecycle experience including design, documentation, implementation, testing, and deployment
  • Familiarity with Data Vault, DataBricks, Fishtown/DBT tool & Graph Databases