Data Engineer

Senior Data Engineer What you’ll do 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 Kafka / streaming frameworks Docker / Kubernetes Azure Data Lake Storage Data visualization tools (Power BI, Tableau, Looker)