Data Engineer

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.