• Pune
• Cummins India

**DESCRIPTION**


+ **Product&Business Alignment**– Collaborate with the Product Owner to align data solutions with business objectives and product vision.

+ **Data Pipeline Development** – Design, develop, and implement efficient data pipelines for ingesting, transforming, and transporting data into Cummins Digital Core (Azure DataLake, Snowflake) from various sources, including transactional systems (ERP, CRM).

+ **Architecture&Standards Compliance**– Ensure alignment with AAI Digital Core and AAI Solutions Architecture standards for data pipeline design, storage architectures, and governance processes.

+ **Automation&Optimization**– Implement and automate distributed data systems, ensuring reliability, scalability, and efficiency through monitoring, alerting, and performance tuning.

+ **Data Quality&Governance**– Develop and enforce data governance policies, including metadata management, access control, and retention policies, while actively monitoring and troubleshooting data quality issues.

+ **Modeling&Storage**– Design and implement conceptual, logical, and physical data models, optimizing storage architectures using distributed and cloud-based platforms (e.g., Hadoop, HBase, Cassandra, MongoDB, Accumulo, DynamoDB).

+ **Documentation&Best Practices**– Create and maintain data engineering documentation, including standard operating procedures (SOPs) and best practices, with guidance from senior engineers.

+ **Tool Evaluation&Innovation**– Support proof-of-concept (POC) initiatives and evaluate emerging data tools and technologies to enhance efficiency and effectiveness.

+ **Testing&Troubleshooting**– Participate in the testing, troubleshooting, and continuous improvement of data pipelines to ensure data integrity and usability.

+ **Agile&DevOps Practices**– Utilize agile development methodologies, including DevOps, Scrum, and Kanban, to drive iterative improvements in data-driven applications.


**RESPONSIBILITIES**


**Qualifications:**


+ Bachelor's degree in a relevant technical discipline, or equivalent experience required.

+This position may require licensing for compliance with export controls or sanctions regulations.


**Competencies:**


+ **System Requirements Engineering:** Translate stakeholder needs into verifiable requirements, establish acceptance criteria, track requirement status, and assess impact changes.

+ **Collaborates:** Build partnerships and work collaboratively with others to meet shared objectives.

+ **Communicates Effectively:** Deliver multi-mode communications tailored to different audiences.

+ **Customer Focus:** Build strong customer relationships and providecustomer-centric solutions.

+ **Decision Quality:** Make good and timely decisions that drive the organization forward.

+ **Data Extraction:** Perform ETL activities from various sources using appropriate tools and technologies.

+ **Programming:** Develop, test, and maintain code using industry standards, version control, and automation tools.

+ **Quality Assurance Metrics:** Measure and assess solution effectiveness using IT Operating Model (ITOM) standards.

+ **Solution Documentation:** Document knowledge gained and communicate solutions for improved productivity.+ **Solution Validation Testing:** Validate configurations and solutions to meet customer requirements using SDLC best practices.

+ **Data Quality:** Identify, correct, and manage data flaws to support effective governance and decision-making.

+ **Problem Solving:** Use systematic analysis to determine root causes and implement robust solutions.

+ **Values Differences:** Recognize and leverage the value of diverse perspectives and cultures.


**QUALIFICATIONS**


**Preferred Experience:**


+ Hands-on experience gained through internships, co-ops, student employment, or team-based extracurricular projects.

+ Proficiency in SQL query language and experience in developing analytical solutions.

+ Exposure to open-source Big Data technologies such as Spark, Scala/Java, MapReduce, Hive, HBase, and Kafka.

+ Familiarity with cloud-based, clustered computing environments and large-scale data movement applications.

+ Understanding of Agile software development methodologies.

+ Exposure to IoT technology and data-driven solutions.


**Technical Skills:**


1.

**Programming Languages:** Proficiency in Python, Java, and/or Scala.2.

**Database Management:** Expertise in SQL and NoSQL databases.

3.

**Big Data Technologies:** Hands-on experience with Hadoop, Spark, Kafka, and similar frameworks.

4.

**Cloud Services:** Experience with Azure, Databricks, and AWS platforms.

5.

**ETL Processes:** Strong understanding of Extract, Transform, Load (ETL) processes.

6.

**Data Replication:** Working knowledge of replication technologies like Qlik Replicate is a plus.

7.

**API Integration:** Experience working with APIs to consume data from ERP and CRM systems.


**Job** Systems/Information Technology

**Organization** Cummins Inc.

**Role Category** Remote

**Job Type** Exempt - Experienced

**ReqID** 2411593

**Relocation Package** No