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• UG :- - Not Required

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• No of position :- ( 1 )

• Post :- 31st Jul 2025

Strong knowledge on data bricks architecture and tools
Have experience of task and wf jobs creations in data bricks.
Deep understanding of distributed computing and how to use spark for data processing.
SQL and pyspark : strong command over querying databases and proficiency in pyspark.
Cloud platform: Preferred Azure for data bricks deployment.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent work experience

• 5+ years of experience in data engineering with Databricks and Spark

• Proficient in SQL and Python and Pyspark

• Experience with Azure Databricks Medallion Architecture with DLT, Iceberg

• Financial/Corporate Banking context would be a plus

• Experience with data integration and ETL tools, such as Azure Data Factory

• Experience with Azure cloud platform and services

• Experience with data warehouse and data lake concepts and architectures

• Good to have experience with big data technologies, such as Kafka, Hadoop, Hive, etc

• Strong analytical and problem-solving skills

• Excellent communication and teamwork skills