Databricks

2–5 years of experience in Data Engineering / Big Data development. Hands-on experience with Databricks platform. Strong knowledge of Apache Spark (PySpark / Scala / SQL). Experience with data pipeline development (ETL/ELT). Proficiency in Python and SQL. Knowledge of data modeling and data warehousing concepts. Experience working with large datasets and distributed systems.

Experience with cloud platforms (Azure Databricks, AWS, or GCP). Familiarity with Delta Lake and Lakehouse architecture. Experience with workflow orchestration tools (Airflow, Azure Data Factory). Knowledge of CI/CD pipelines for data engineering. Exposure to streaming data (Kafka, Structured Streaming). Experience with BI tools like Power BI, Tableau.