Lead Data Engineer
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About this role
In-depth working experience of distributed systems Hadoop, Spark, Hive, DBT and Airflow/Dagster
At least 5 years of solid production quality coding experience in data pipeline implementation in Python
Experience working with public cloud platforms, preferably AWS
Experience working with Databricks and/or Snowflake
Experience in Git, JIRA, Jenkins, shell scripting
Familiarity with Agile methodology, test-driven development, source control management and test automation
Experience supporting and working with cross-functional teams in a dynamic environment
You have excellent collaborative problem solving and communication skills and are empathetic to others
You have a track record of building fast, reliable, and high-quality data pipelines
Company
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