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.​

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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 (India)
🏢 Expleo
📍 India