Job Description

Department	IT – Digital Manufacturing
Role	Data Engineering Lead
Reporting to	Head of Digital Manufacturing
Direct Report	<Team to add>
Location	Tirupati
Tentative start date	<Team to add>

Job Summary

Amara Raja Batteries is seeking an innovative and detail-oriented Data Engineering Lead to design, develop, and optimize data infrastructure across business domains. This role involves managing data pipelines, integrating multimedia data into a structured medallion data lake-house. The ideal candidate will collaborate with cross-functional teams to ensure reliable and scalable data architecture on Azure platform to support data scientists, analysts and Ai engineers.

About the Company

<Team to add>

Key Responsibilities

Key Accountabilities Areas

Key Activities	Description
Data Pipeline Ownership	Design, build, and maintain scalable data pipelines to integrate data from multiple systems. Enable efficient data flow for real-time monitoring and predictive analytics aligned with business objectives.
Collaboration with Data Teams	Partner with data analysts and data scientists to provide clean, structured, and accessible data for advanced analytics. Collaborate to build transformation Silver pipelines and semantic Gold layer for business analytics.
IoT and Manufacturing Data Integration	Integrate IoT-generated data with manufacturing systems to enable real-time insights and decision-making. Drive IT-OT convergence to enhance connectivity and visibility across digital and physical manufacturing environments.
Data Infrastructure Management	Optimize data storage and processing systems to support AI and digital use cases. Develop scalable architectures to handle large volumes of high frequency transactional and slow moving enterprise data.
ETL & Workflow Automation	Develop and automate ETL (Extract, Transform, Load) processes to ensure accurate and timely data integration.
Data Quality & Compliance	Implement frameworks to maintain data accuracy, integrity, and security in compliance with ISO 9001 and other industry standards. Ensure adherence to data governance.

Required skills

Data Engineering Tools

• Proficiency in tools like SQL, Python, or ETL frameworks for managing and processing data.
• Azure tools like Databricks, Azure Data Factory and Fabric.

IoT Data Integration

• Understanding of IoT protocols (e.g., MQTT, OPC-UA) and ability to process IoT data for real-time insights.

Database Systems

• Expertise in relational databases (MySQL, PostgreSQL) and knowledge of non-relational databases as needed.

ETL Development

• Proven ability to design, automate, and optimize ETL pipelines for manufacturing data.

Cloud technologies

• Broad expertise in at least one Cloud platform, preferably Azure.
• Working knowledge of automation and deployment tools.

Data Governance & Security

• Knowledge of data governance principles and compliance with industry regulations like ISO 9001 and GDPR.

Nice to Have

Industry 4.0 Familiarity

• Understanding of smart manufacturing concepts, including predictive maintenance and digital twins.

Technical Proficiency

• Good understanding of DevOps, CI/CD pipelines, orchestration, and containerization tools like Docker and Kubernetes.

Qualifications

Work Experience

• 5-8 years of experience in data engineering, with a strong focus on Azure platform.
• Proven track record of integrating data from MES, ERP, CRM and manufacturing systems.

Educational Background

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• Coursework or specialization in data architecture, analytics in Azure platform (preferred).

Preferred Industry Experience

• Manufacturing, energy, or related industries with exposure to Industry 4.0.

Technical Expertise

• Expertise in developing and optimizing data pipelines, ETL processes, and managing large-scale data systems in Azure (preferred).
• Familiarity with tools and platforms like SQL, Python, Databricks, Airflow, and IoT protocols (e.g., MQTT, OPC-UA).

Hiring Process and Next Steps

Application Process

<Team to add>

For queries, please reach out to:

• Name: [Insert Contact Name], [Designation]
• Contact: [Insert Phone Number]
• Email: [Insert Email]

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