Lead Azure Data Engineer

Related skills

sql databricks spark pyspark azure data factory

๐Ÿ“‹ Description

  • Design, develop, and maintain scalable ETL/ELT pipelines for large data.
  • Build and manage cloud data platforms: data lakes, data warehouses, analytics.
  • Develop and optimize pipelines using Spark, PySpark, and cloud-native services.
  • Work with real-time and batch processing to ensure reliable data delivery.
  • Design robust data models; ensure data quality, governance, and performance.
  • Optimize SQL queries and analytics workloads for performance.

๐ŸŽฏ Requirements

  • 7+ years in Data Engineering, ETL, and cloud analytics.
  • Azure Data Factory, Databricks, Azure Synapse Analytics, Spark, PySpark expertise.
  • Data lakes, Delta Lake architecture, and modern big data tech.
  • Strong SQL development, query optimization, and performance tuning.
  • Designing scalable cloud data platforms and enterprise architectures.
  • Data reporting, modeling, and dashboard development.
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