**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. **RESPONSIBILITIES** **Competencies:** + **Data Extraction & Transformation** – Ability to perform ETL activities from varied sources with high data accuracy. + **Programming** – Capable of writing and testing efficient code using industry standards and version control systems. + **Data Quality Management** – Detect and correct data issues for better decision-making. + **Solution Documentation** – Clearly document processes, models, and code for reuse and collaboration. + **Solution Validation** – Test and validate changes or solutions based on customer requirements. + **Problem Solving** – Address technical challenges systematically to ensure effective resolution and prevention. + **Customer Focus** – Understand business requirements and deliver user-centric data solutions. + **Communication & Collaboration** – Work effectively across teams to meet shared goals. + **Values Differences** – Promote inclusion by valuing diverse perspectives and backgrounds. **Education, Licenses, Certifications:** + Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related technical discipline. + Certifications in data engineering or relevant tools (Snowflake, Power BI, etc.) are a plus. **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. **QUALIFICATIONS** **Why Join Cummins?** + Opportunity to work with a **global leader** in power solutions and digital transformation. + Be part of a **collaborative and inclusive** team culture. + Access to **cutting-edge data platforms** and tools. + Exposure to **enterprise-scale** data challenges and **finance domain expertise** . + Drive impact through **data innovation and process improvement** . **Job** Systems/Information Technology **Organization** Cummins Inc. **Role Category** Remote **Job Type** Exempt - Experienced **ReqID** 2414992 **Relocation Package** No