Description

Job Description

You’ll need to have:

  • Bachelor’s or advanced degree in Computer Science, Data Engineering, or a related field.
  • 8+ years of professional data engineering experience.
  • Snowflake (Snowpipe, Tasks, Streams) as a complementary warehouse.
  • Databricks (Delta formats, workflows, cataloging) or equivalent Spark platforms.
  • Hands-on experience building ETL/ELT with Prefect (or Airflow), dbt, Spark, and/or Kafka.
  • Experience onboarding datasets to cloud data platforms (storage, compute, security, governance).
  • Familiarity with Azure data services (e.g., S3/ADLS/GCS; Redshift/BigQuery; Glue/ADF).
  • Git-based workflows CI/CD and containerization with Docker (Kubernetes a plus)

Key Skills
Education

Any Graduate

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