Job Description :

JOb Discription:

10+ years of experience in Data Engineering, with 3–5 years hands-on in Azure Databricks (PySpark) and AI Platform.

  • Deep knowledge of Spark internals, query optimization, and performance tuning.

  • Experience implementing Medallion Architecture and DLT pipelines in production.

  • Strong command of SQL, Python, and Delta Lake design patterns.

  • Proficiency with Azure Data Factory (ADF), ADLS Gen2, and Azure Synapse/Snowflake.

  • Working knowledge of Unity Catalog, RBAC, and data governance frameworks.

  • Experience with streaming data (Kafka/Event Hub) and real-time ingestion preferred.

  • Strong debugging, troubleshooting, and analytical skills.

  • Excellent communication and ability to work in agile, multi-stakeholder environments.

    We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.