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)