Data Engineer

2 days ago

Dholera, India Tata Electronics (TEPL) Full time ₹ 15,00,000 - ₹ 25,00,000 per year

About The Business -

Job Responsibilities -

  • Architect and implement scalable offline data pipelines for manufacturing systems including AMHS, MES, SCADA, PLCs, vision systems, and sensor data.
  • Design and optimize ETL/ELT workflows using Python, Spark, SQL, and orchestration tools (e.g., Airflow) to transform raw data into actionable insights.
  • Lead database design and performance tuning across SQL and NoSQL systems, optimizing schema design, queries, and indexing strategies for manufacturing data.
  • Enforce robust data governance by implementing data quality checks, lineage tracking, access controls, security measures, and retention policies.
  • Optimize storage and processing efficiency through strategic use of formats (Parquet, ORC), compression, partitioning, and indexing for high-performance analytics.
  • Implement streaming data solutions (using Kafka/RabbitMQ) to handle real-time data flows and ensure synchronization across control systems.
  • Building dashboards using analytics tools like Grafana.
  • Good Understanding of Hadoop ecosystem.
  • Develop standardized data models and APIs to ensure consistency across manufacturing systems and enable data consumption by downstream applications.
  • Collaborate cross-functionally with Platform Engineers, Data Scientists, Automation teams, IT Operations, Manufacturing, and Quality departments.
  • Mentor junior engineers while establishing best practices, documentation standards, and fostering a data-driven culture throughout the organization.Essential Attributes -
  • Expertise in Python programming for building robust ETL/ELT pipelines and automating data workflows.
  • Proficiency with Hadoops ecosystem.
  • Hands-on experience with Apache Spark (PySpark) for distributed data processing and large-scale transformations.
  • Strong proficiency in SQL for data extraction, transformation, and performance tuning across structured datasets.
  • Proficient in using Apache Airflow to orchestrate and monitor complex data workflows reliably.
  • Skilled in real-time data streaming using Kafka or RabbitMQ to handle data from manufacturing control systems.
  • Experience with both SQL and NoSQL databases, including PostgreSQL, Timescale DB, and MongoDB, for managing diverse data types.
  • In-depth knowledge of data lake architectures and efficient file formats like Parquet and ORC for high-performance analytics.
  • Proficient in containerization and CI/CD practices using Docker and Jenkins or GitHub Actions for production-grade deployments.
  • Strong understanding of data governance principles, including data quality, lineage tracking, and access control.
  • Ability to design and expose RESTful APIs using FastAPI or Flask to enable standardized and scalable data consumption.Qualifications -
  • BE/ME Degree in Computer science, Electronics, ElectricalDesired Experience Level -
  • Masters+ 2 Years of relevant experience.
  • Bachelors+4 Years of relevant experience.
  • Experience with semiconductor industry is a plus.

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