Data Engineer

Expleo · Bangalore

Source and collection record

Last observed by our collector: 8 October 2026 at 11:25 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: IN-KA-Bangalore

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

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Collected role description

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.

Collected experience requirement

8-9 YEARS