Databricks

2–5 years of experience in Data Engineering / Big Data development.
Hands-on experience with Databricks platform.
Strong knowledge of Apache Spark (Py Spark / 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.

Education: MCA,MSc,MTech,BCA,BSc,BTech

Preferred skills: Technology->Data Engineering->Databricks