3 days ago
Pune, IndiaEntry Level
Responsibilities
- Develop and maintain data pipelines, transformations, curated datasets, and enterprise data products for reporting, analytics, automation, machine learning, and GenAI use cases.
- Automate deployment and operate distributed systems that ingest and transform relational, event-based, and unstructured data.
- Implement monitoring, alerting, testing, and troubleshooting processes for data quality, integrity, and pipeline reliability.
- Develop physical data models and data storage architectures using distributed and cloud-based platforms.
- Apply Data-as-a-Product principles, including metadata, lineage, governance, access, retention, and quality controls.
- Translate business and product requirements into scalable, maintainable, performant, and reusable technical solutions.
- Collaborate with Product Managers, Data Engineers, Data Scientists, Solution Engineers, analysts, and business stakeholders.
- Document solutions and validate changes using applicable SDLC, ITOM, quality, and compliance practices.
Requirements
- Bachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, 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, metadata management, and data governance for enterprise-scale data products.
- Ability to convert business and product requirements into efficient, scalable, maintainable, and reusable technical solutions.
- Experience working in Agile, cross-functional teams with product, engineering, analytics, and business stakeholders.
- Preferred exposure to Big Data technologies, Spark, Scala or Java, MapReduce, Hive, HBase, Kafka, clustered cloud computing, large-file cloud movement, analytical solutions, IoT, 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).