Responsibilities

• Design, develop, and optimize data pipelines and distributed data systems


• Build and maintain ETL workflows across multiple systems


• Lead analytics modules and communicate technical outcomes clearly


• Partner with consulting teams to define delivery outcomes and technical approach


• Deliver production-ready solutions (from prototype to enterprise-grade systems)

Technical Requirements – Required

• Python and SQL


• Relational databases (PostgreSQL, MySQL, MariaDB or similar)


• NoSQL databases (MongoDB, Redis, Neo4j or similar)


• Distributed systems (Spark / PySpark / Hadoop)


• Cloud platforms (AWS, Azure, or GCP)

Nice to Have

• Airflow, Data Factory, Glue, Prefect, Dagster


• Snowflake / Star schema modeling


• Ka...