Overview

Data Engineer / DataOps / IoT Expert

8u20139 YEARS 1 FTE BANGALORE

Designs, implements and operates the industrial data lakehouse u2014 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 u2014 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.u200b
- Owns ingestion, data quality, validation and governance.u200b
- Stands up and maintains data gateways for machines and sensors.u200b
- Feeds clean, reliable data to the analytics and dashboard layers.u200b
- Works with DevOps to optimize the data infrastructure.u200b Qualifications

IIoT,



time-series / telemetry data, manufacturing analytics, OEE.u200b

u200b Essential skills

- Must-have: lakehouse + streaming, ideally time-series (InfluxDB / IIoTtelemetry) u2014 not just batch BI.u200b
- The Iceberg + Spark + MinIO combo is specific; open-table-formatexperience really stands out.u200b
- Ask how theyd tame a chatty sensor firehose plus late-arriving data.u200b Desired skills
- Neo4j / Qdrant is nice-to-have (it feeds the AI/analytics layer), not a gate.u200b

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📌 Data Engineer (Bengaluru)
🏢 Expleo
📍 Bengaluru