Data Engineer 4.0

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.
• Strong 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.
• Strong 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
• Strong 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.