Found Description
Drive the transition from Glue/Redshift to Databricks as a Lead Data Engineer. Bring your extensive experience in data engineering to spearhead impactful migrations and optimize performance.
This role requires 10+ years in data engineering, with at least 2 years in a lead capacity. You will need to demonstrate hands-on expertise with Apache Spark, Databricks, AWS Glue, and Redshift, driving high-impact data platform migration efforts. Strong communication skills are essential to bridge the gap between technical execution and executive strategy.
Key Responsibilities:
• Lead migration projects from Glue/Redshift to Databricks.
• Optimize performance using Apache Spark tuning techniques.
• Build and maintain workflows in Databricks environments.
• Collaborate with engineering teams for effective execution.
• Create clear documentation and migration plans for stakeholders.
Requirements:
• 10+ years of relevant data engineering experience.
• Proficiency with Ap...
This role requires 10+ years in data engineering, with at least 2 years in a lead capacity. You will need to demonstrate hands-on expertise with Apache Spark, Databricks, AWS Glue, and Redshift, driving high-impact data platform migration efforts. Strong communication skills are essential to bridge the gap between technical execution and executive strategy.
Key Responsibilities:
• Lead migration projects from Glue/Redshift to Databricks.
• Optimize performance using Apache Spark tuning techniques.
• Build and maintain workflows in Databricks environments.
• Collaborate with engineering teams for effective execution.
• Create clear documentation and migration plans for stakeholders.
Requirements:
• 10+ years of relevant data engineering experience.
• Proficiency with Ap...
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