Overview:

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 / 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.

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

📌 Data Engineer Bengaluru
🏢 Expleo
📍 Bengaluru