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Data Engineer
Expleo · Cahmrajendrapet, Bangalore, Karnataka, India
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Data Engineer / DataOps / IoT Expert 8–9 YEARS · 1 FTE · BANGALORE ▪Designs, implements and operates the industrial data lakehouse — Spark, Iceberg, MinIO, InfluxDB, PostgreSQL ▪Builds end-to-end data pipelines: ingestion, quality, validation and governance ▪Implements and maintains data gateways for machine and sensor connectivity ▪Deploys advanced AI components — Qdrant, Neo4j, BrainCube analytics integration ▪Delivers clean, reliable data flows for advanced analytics; optimizes data infrastructure with DevOps and application teams
- Designs and runs the lakehouse + end-to-end data pipelines.
- Owns ingestion, data quality, validation and governance.
- Stands up and maintains data gateways for machines and sensors.
- Feeds clean, reliable data to the analytics and dashboard layers.
- Works with DevOps to optimize the data infrastructure. IIoT, time-series / telemetry data, manufacturing analytics, OEE.
- Must-have: lakehouse + streaming, ideally time-series (InfluxDB / IIoTtelemetry) — not just batch BI.
- The Iceberg + Spark + MinIO combo is specific; open-table-formatexperience really stands out.
- Ask how they'd tame a chatty sensor firehose plus late-arriving data.
- Neo4j / Qdrant is nice-to-have (it feeds the AI/analytics layer), not a gate.