Data Engineer Industrial IoT / Manufacturing 4.0

Location: Bangalore

Experience: 8–9 Years

Industry: Manufacturing / Industrial IoT

Job Overview

We are looking for an experienced Data Engineer with strong expertise in Industrial IoT (IIoT), Manufacturing 4.0, Data Lakes/Lakehouses, and data pipelines. The candidate will be responsible for building and managing scalable data platforms and integrating machine/sensor data from industrial environments.

Key Responsibilities
Design, deploy, and operate Industrial Data Lake / Lakehouse platforms.
Build end-to-end data pipelines covering ingestion, transformation, validation, quality, and governance.
Develop and maintain IoT/IIoT data bridges for sensor and machine connectivity.
Work with real-time data using Kafka/Redpanda and MQTT.
Develop data processing solutions using PySpark and Apache Camel K.
Work with SQL, PostgreSQL, InfluxDB and other time-series databases.
Optimize data infrastructure in collaboration with DevOps and Application teams.
Integrate data from machines, sensors, MES and manufacturing systems.
Implement data quality, validation, governance, and data lineage practices.
Support modern data and analytics platforms used for industrial applications.

Mandatory Skills




8–9 years of relevant Data Engineering / Data Pipeline experience.
Robust experience with Industrial IoT / IIoT / Manufacturing data.
Hands-on experience with Data Lake / Lakehouse architecture.
Strong PySpark / Apache Spark experience.
Hands-on experience with Apache Camel K.
Solid SQL skills.
Experience with PostgreSQL, InfluxDB or other Time-Series databases.
Experience with Kafka / Redpanda and MQTT.
Experience in data transformation, validation, quality, and governance.
Experience working with machine/sensor data or manufacturing/MES systems.

Good to Have
Apache Iceberg, MinIO, Trino
EMQX / MQTT-to-Kafka integration
OpenMetadata, Collibra or similar data cataloguing tools
Docker, Kubernetes, CI/CD and DevOps
Experience with Qdrant, Neo4j, Braincube or similar AI/analytics platforms
Robust understanding of Industry 4.0 / Smart Manufacturing

Education Bachelor’s degree in Engineering, preferably Industrial Engineering / Manufacturing Engineering.

Ideal Candidate

Candidates from Manufacturing, Industrial Automation, Automotive, Industrial IoT, Smart Manufacturing, MES, or Industrial Technology backgrounds will be preferred.

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