Data Engineer

About the Role

This is a full-time, on-site Data Engineer role based in New Delhi. The Data Engineer will design, build, and maintain scalable data pipelines and ETL processes to support analytics and business intelligence across DCM Shriram’s diverse business units. The role involves integrating data from multiple systems, ensuring data quality and reliability, and optimizing data workflows for performance and cost-efficiency. The Data Engineer will collaborate closely with data analysts, business stakeholders, and IT teams to translate business requirements into robust data solutions and models. The position also includes monitoring data infrastructure, troubleshooting issues, and implementing best practices in data security and governance.

Key Responsibilities

• Design, build, and maintain scalable data pipelines and ETL processes.
• Integrate data from multiple systems.
• Ensure data quality and reliability.
• Optimize data workflows for performance and cost-efficiency.
• Collaborate with data analysts, business stakeholders, and IT teams.
• Translate business requirements into robust data solutions and models.
• Monitor data infrastructure.
• Troubleshoot issues.
• Implement best practices in data security and governance.

Qualifications

• Strong skills in data engineering concepts, including ETL/ELT design, data warehousing, and building scalable data pipelines.
• Practical experience with relational and non-relational databases (e.g., SQL-based systems and NoSQL).
• Experience with data modeling and performance optimization.
• Proficiency in programming languages commonly used for data engineering, such as Python or SQL.
• Familiarity with scripting for automation.
• Experience with modern data platforms and tools (e.g., cloud data services, big data frameworks, or workflow orchestration tools), or willingness to learn them quickly.
• Strong analytical and problem-solving skills.
• Ability to translate business needs into technical data solutions.
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
• Relevant certifications in data engineering or cloud technologies are an advantage.
• Ability to work collaboratively with cross-functional teams.
• Ability to communicate clearly with technical and non-technical stakeholders.
• Ability to adhere to data security and compliance standards.
• Experience in manufacturing, chemicals, agribusiness, or large-scale industrial organizations is beneficial but not mandatory.