Lead Data Engineer

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• Design and implement scalable data pipelines and architectures on Azure Databricks.
• Optimize ETL / ELT workflows, ensuring efficiency in data processing, storage, and retrieval.
• Leverage Apache Spark, Delta Lake, and Azure-native services to build high-performance data solutions.
• Ensure best practices in data governance, security, and compliance within Azure environments.
• Troubleshoot and fine-tune Spark jobs for optimal performance and cost efficiency.
• Lead the migration of Azure SQL to Azure Databricks, ensuring a seamless transition of data workloads.
• Design and implement scalable data pipelines to extract, transform, and load (ETL / ELT) data from Azure SQL into Databricks Delta Lake.
• Optimize Azure SQL queries and indexing strategies before migration to enhance performance in Databricks.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Information Technology

Industries

IT Services and IT Consulting

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