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About the Role
Join a leading tech firm as a Lead Data Engineer responsible for migrating from Glue/Redshift to Databricks. Leverage your extensive Apache Spark and AWS experience to drive impactful data transformations.
This role requires over 10 years in data engineering, with 2 years in a tech lead capacity. You will need 5-6 years of experience in Apache Spark, Databricks, and AWS Glue, alongside a proven track record of leading significant data platform migrations. Your expertise will shape our migration strategies and support our engineering team.
Key Responsibilities:
• Lead migration from Glue/Redshift to Databricks
• Optimize Spark performance through tuning techniques
• Utilize Databricks features, including Delta Lake
• Oversee AWS Glue and Redshift production environments
• Communicate effectively with stakeholders and engineers
Requirements:
• 10+ years in data engineering roles
• 2+ years in a lead engineer capacity
• Proficient in Python, SQL, and CI/CD...
This role requires over 10 years in data engineering, with 2 years in a tech lead capacity. You will need 5-6 years of experience in Apache Spark, Databricks, and AWS Glue, alongside a proven track record of leading significant data platform migrations. Your expertise will shape our migration strategies and support our engineering team.
Key Responsibilities:
• Lead migration from Glue/Redshift to Databricks
• Optimize Spark performance through tuning techniques
• Utilize Databricks features, including Delta Lake
• Oversee AWS Glue and Redshift production environments
• Communicate effectively with stakeholders and engineers
Requirements:
• 10+ years in data engineering roles
• 2+ years in a lead engineer capacity
• Proficient in Python, SQL, and CI/CD...
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