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Data Engineer at CUMMINGS INC

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

08 Mar, 26

Salary

0.0

Posted On

08 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL Processes, Data Warehousing, Snowflake, OBIEE, Power BI, Data Integration, Data Quality, Data Visualization, Data Modeling, Agile Methodologies, DevOps, Cloud-Based Architecture, Data Governance, Metadata Management, Access Control

Industry

Motor Vehicle Manufacturing

Description

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.

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Responsibilities

The Data Engineer will design, develop, and maintain ETL pipelines and automate data integration workflows. They will also analyze data quality issues and develop dashboards for business stakeholders.