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.

• Primary skills:Domain->other solutions->Finacle Virtual Lounge->Grand Master

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.