Job Details

Responsible for design, build, and maintain systems that manage and process large datasets. Includes developing and optimizing data pipelines, ETL processes, and databases using technologies such as Python, Big Data tools, Hadoop, Spark, and SQL databases like MySQL. Also should have experience in databases like MongoDB or Cassandra and utilize cloud platforms such as AWS, Azure, Hive tools.

Key responsibilities involve data modeling, performance optimization, and ensuring data quality and security. Additionally, collaborate with data scientists and analysts, document data systems and workflows, troubleshoot and support data issues, and ensure compliance with data protection regulations