Data Engineering Lead

Remote • Posted 2 hours ago • Updated 2 hours ago
Full Time
Occasional Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • AI/ML
  • KAFKA
  • ETL
  • SNOWFLAKE
  • GLUE

Summary

Data Engineering Lead((Main focus is AI/ML, Data bricks and Snowflake)

  • 4–15 years of professional data engineering experience. 
  • Strong Python, SQL, and Spark (PySpark) skills, and/or Kafka.
  • 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/AWS/Google Cloud Platform data services (e.g., S3/ADLSS; Redshift/BigQuery; Glue/ADF). 
  • Git-based workflows CI/CD and containerization with Docker (Kubernetes a plus).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: mategr
  • Position Id: ABID_846416
  • Posted 2 hours ago
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