Senior Data Integration Engineer

1 month ago


Dallas, United States Tiva's Client Full time

Senior Data Integration Engineer


Role Overview:

This role will be responsible for conducting ingestion and systems integration activities on the Databricks platform. This role requires a deep understanding of:


  • Data Lake ingestion and integration processes and best practices
  • Databricks platform
  • Python/PySpark
  • ETL/ELT design, Apache Airflow
  • CI/CD
  • System integration tools
  • Data pipeline management


About the role:

  • Integrate data from a variety of source systems and knowledge to tailor integration approaches on a per-system basis
  • Liaise with Technical Data Steward and understanding business requirements for ingestion and integration
  • Document ingestion and integration flows and pipelines
  • Use Airflow to schedule and automate ingestion jobs
  • Manage metadata and master data in technical data catalog
  • Manage, maintain, and oversee ETL/ELT pipelines on the Databricks platform
  • Ensure ELT/ETL design meets required security and compliance guidelines, and ensure PII management, flagging, and risk assessment during ingestion and integration
  • Conduct pipeline monitoring
  • Ensure adherence to SDLC best practices


About you:

  • Bring 5+ years of experience in data engineering, ingestion pipelining, and ETL/ELT
  • Hold a bachelor’s degree in computer science, engineering, statistics, or related field
  • Have hands-on experience with and understanding of the following:
  • Spark/Scala
  • SQL
  • Python/PySpark or similar programming language
  • Databricks
  • ETL/ELT development, monitoring and pipelining using tools such as Apache Airflow
  • omibo
  • Data quality guidelines
  • CI/CD pipelines
  • Agile
  • Git and version control



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