Career Path: Systems/Information Technology
Organization: Cummins Inc.
Role Category: Remote
Job Type: Exempt - Experienced
ReqID: 2414992

DESCRIPTION

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 .

EXPERIENCE

Must have skills:

• 5–7 years of experience in data engineering or software development , preferably within a finance or enterprise IT environment.
• Proficient in ETL tools , SQL , and data warehouse development .
• Proficient in Snowflake , Power BI , and OBIEE reporting platforms. Must have worked in implementation using these tools and technologies.
• Strong understanding of data warehousing principles , including schema design (star/snowflake), ER modeling, and relational databases.
• Working knowledge of Oracle databases and Oracle EBS structures.

Preferred Skills:

• Experience with Qlik Replicate , data replication , or data migration tools.
• Familiarity with data governance , data quality frameworks , and metadata management .
• Exposure to cloud-based architectures, Big Data platforms (e.g., Spark, Hive, Kafka), and distributed storage systems (e.g., HBase, MongoDB).
• Understanding of agile methodologies (Scrum, Kanban) and DevOps practices for continuous delivery and improvement.

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.