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Job description
The Enterprise Tools Data Engineer is a key member of the Engineering team, responsible for designing and implementing data engineering solutions across the enterprise tooling ecosystem. This role requires deep expertise in Snowflake, Microsoft Fabric, AWS, and Kafka to build scalable data platforms, ingestion frameworks, and Lakehouse architectures that enable analytics, reporting, and AI-driven insights.
Design and build end-to-end data ingestion pipelines across Snowflake, Fabric, and AWS. Implement batch and streaming ETL/ELT using SQL, Python, and Kafka. Develop scalable Lakehouse architectures (Bronze → Silver → Gold layers).
Strong SQL + Python for ETL/ELT on Snowflake & Fabric Pipelines. Experience with API ingestion + streaming (Kafka/Kinesis). Hands-on with Lakehouse formats (Parquet/Delta/Iceberg).
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