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Builds and maintains production-grade data pipelines on a Databricks lakehouse platform that supports analytics, ML and AI use cases, working closely with data scientists and analysts. Core stack is Databricks, SQL and PySpark, with cloud exposure (Azure/AWS/GCP) and Delta Lake as a plus.
A Data Engineer will design, build, and maintain scalable Databricks/Apache Spark data pipelines and help develop a modern lakehouse platform powering analytics, ML, and AI use cases. Core stack: Databricks, PySpark, SQL, Delta Lake, and cloud platforms (Azure/AWS/GCP).
Senior Data Engineer designing, developing, and operating end-to-end data pipelines (ETL/ELT) using distributed computing tools like Spark/Flink, SQL, and workflow orchestrators (Airflow/Dagster) to ingest, transform, and deliver reliable datasets for BI, Data Science, and ML.
Builds and maintains scalable batch/streaming data pipelines for a sovereign enterprise data platform, ensuring quality, reliability, and integration with BI, APIs, and Data Science.
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