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Strong Tier-1 brand, metro location, mid-level generalist Data Engineer role with common cloud skills.
Skills are transferable across industries but require Azure/Databricks cloud specialization.
Explicit 4+ years requirement plus mandatory Azure, Databricks, PySpark and BI/DevOps skills.
Lead design and development of data and analytics cloud-based platforms using Azure and Databricks.
Develop and maintain data pipelines, perform data transformations, and build data models and warehouses to support business deliverables and decision-making.
Collaborate with product managers to ensure high-quality product delivery and implement data governance and performance optimization practices.
Bachelor's or master's degree in computer science, data engineering, or related field.
Minimum 4 years of work experience in data engineering and cloud platforms.
Strong proficiency with Azure services (Azure Data Factory, Databricks, Azure SQL Database, Data Lake Storage, Synapse Analytics) and programming languages like PySpark, Python, SQL, or Scala.
Experience with ETL tools (Apache Spark, Databricks Delta), data modeling, data warehousing concepts, data governance, and Microsoft Power BI for reporting.
Experienced in leading end-to-end data engineering projects within cloud environments, especially Azure and Databricks.
Skilled in integrating complex data sources and optimizing large-scale data pipelines for business impact.
Proficient in collaboration with cross-functional teams such as product managers to drive data product delivery and transformation.