Data Engineer

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.​