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

Responsibilities
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.

Qualifications IIoT , time-series / telemetry data, manufacturing analytics, OEE.

Essential Skills
Must-have: lakehouse + streaming, ideally time-series ( InfluxDB / IIoT telemetry) — not just batch BI.
The Iceberg + Spark + MinIO combo is specific; open-table-format experience really stands out.
Ask how they'd tame a chatty sensor firehose plus late-arriving data.

Desired Skills
Neo4j / Qdrant is nice-to-have (it feeds the AI/analytics layer), not a gate.

📌 Data Engineer Bengaluru
🏢 Expleo Group
📍 Bengaluru