Data Engineer

Job Summary:

Cummins is seeking a skilled Data Engineer to support the development, maintenance, and optimization of our enterprise data and analytics platform. This role involves hands-on experience in software development, ETL processes, and data warehousing, with strong exposure to tools like Snowflake, OBIEE, and Power BI. The engineer will collaborate with cross-functional teams, transforming data into actionable insights that enable business agility and scale.

Please Note: While the role is categorized as remote, it will follow a hybrid work model based out of our Pune office.

Key Responsibilities:

• Design, develop, and maintain ETL pipelines using Snowflake and related data transformation tools.
• Build and automate data integration workflows that extract, transform, and load data from various sources including Oracle EBS and other enterprise systems.
• Analyze, monitor, and troubleshoot data quality and integrity issues using standardized tools and methods.
• Develop and maintain dashboards and reports using OBIEE, Power BI, and other visualization tools for business stakeholders.
• Work with IT and Business teams to gather reporting requirements and translate them into scalable technical solutions.
• Participate in data modeling and storage architecture using star and snowflake schema designs.
• Contribute to the implementation of data governance, metadata management, and access control mechanisms.
• Maintain documentation for solutions and participate in testing and validation activities.
• Support migration and replication of data using tools such as Qlik Replicate and contribute to cloud-based data architecture.
• Apply agile and DevOps methodologies to continuously improve data delivery and quality assurance processes.