3 days ago
Pune, IndiaEntry Level
Responsibilities
- Develop and maintain enterprise data products, pipelines, transformations, and curated datasets for reporting, analytics, automation, machine learning, and GenAI use cases.
- Implement and automate ingestion and transformation of relational, event-based, and unstructured data sources using ETL/ELT tools or scripting languages.
- Build scalable data storage architectures and physical data models using distributed and cloud-based platforms.
- Implement monitoring, alerting, testing, and troubleshooting processes for data pipeline quality, integrity, and reliability.
- Apply Data-as-a-Product principles, including metadata, lineage, access, retention, governance, and self-service data consumption.
- Translate stakeholder and product requirements into scalable, maintainable, reusable technical solutions.
- Collaborate with Product Managers, Data Engineers, Data Scientists, Solution Engineers, analysts, business teams, and IT stakeholders.
- Document solutions, validate changes, and contribute to requirements, quality metrics, and system lifecycle activities.
Requirements
- Bachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related technical discipline, or equivalent practical experience.
- Experience developing and supporting data integration, ETL/ELT processes, data pipelines, and data transformations with modern cloud-based data platforms.
- Working knowledge of data modeling, SQL, data quality practices, metadata management, and data governance for enterprise-scale data products.
- Ability to design efficient technical solutions considering scalability, performance, maintainability, and reusability.
- Experience working in Agile cross-functional teams and collaborating with product, engineering, analytics, and business stakeholders.
- Knowledge or exposure to big data technologies, clustered cloud computing, large-file movement in cloud environments, analytical solutions, and IoT technology.
- Preferred exposure to Data-as-a-Product operating models, data catalogs, lineage, data quality frameworks, certified data products, and AI/ML or GenAI initiatives.
- Relevant temporary student employment, internship, co-op, extracurricular team, or equivalent experience is preferred.
Tech Stack
Amazon DynamoDBApache CassandraApache HadoopApache HBaseApache HiveApache KafkaApache SparkJavaMongoDBScalaSQL
Categories
Data Engineering
About Cummins
Cummins Inc. designs and manufactures diesel, natural gas, and electrified powertrains, generators, and related components (turbochargers, filtration, emission systems) for commercial vehicles, industrial equipment, marine, rail, and power markets. It sells to OEMs and fleet operators and provides parts and service through a global distribution network. Founded in 1919 and headquartered in Columbus, Indiana, Cummins is a public company listed on the NYSE (CMI).