Lead Data Engineer - ETL, Spark, PySpark, Cloud, Snowflake

Experience Required

• 6–8 years
  

Role Description / Key Responsibilities

• Lead the design and development of end-to-end data pipelines using cloud-native and modern data engineering tools.
  

• Architect scalable data ingestion, transformation, and storage solutions across structured and unstructured data sources.
  

• Drive implementation of ETL/ELT frameworks, data orchestration, and workflow automation.
  

• Collaborate with data architects, product owners, SMEs, and cross-functional teams to gather requirements and define data solutions.
  

• Build and govern data models, metadata standards, and data quality frameworks.
  

• Optimize data pi...