Data Engineer

Expleo Group; Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Expleo Group in Bangalore is seeking a hands-on Data Engineer / DataOps / IoT Expert with 8–9 years of experience to design and operate an industrial lakehouse. You will build end-to-end data pipelines, handle ingestion, quality, validation and governance, and deploy data gateways for machine and sensor connectivity.

The role involves deploying AI components like Neo4j and Qdrant, optimizing data infrastructure with DevOps, and delivering clean data to analytics and dashboards to enable advanced

Qualifications

• Experience with IIoT and time-series telemetry.
• Experience in manufacturing analytics and OEE.
• Knowledge of data lakehouse architectures.
• Experience designing and operating data pipelines.

Responsibilities

• Design and run the lakehouse + end-to-end data pipelines.
• Own ingestion, data quality, validation and governance.
• Stand 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.

Skills

Lakehouse + streaming

Time-series data

Iceberg

Spark

MinIO

InfluxDB

Data governance

End-to-end pipelines

DevOps for data

Data gateways

Neo4j

Qdrant

Open-table-format

Tools

PostgreSQL

InfluxDB

Qdrant

Neo4j

Job description

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.