3 days ago
Pune, IndiaSenior
Responsibilities
- Build and maintain enterprise data pipelines, transformations, curated datasets, and data products for reporting, analytics, automation, machine learning, and GenAI use cases.
- Implement and automate distributed data ingestion and transformation from relational, event-based, and unstructured sources.
- Develop scalable data storage architectures, physical data models, and large-scale distributed or cloud-based processing solutions.
- Implement monitoring, alerting, troubleshooting, and data quality controls for pipeline reliability and data integrity.
- Apply data governance practices covering metadata, lineage, access, retention, and reusable self-service data assets.
- Collaborate with product, engineering, analytics, data science, solution engineering, and business stakeholders to translate requirements into scalable technical solutions.
- Perform data extraction, ETL activities, programming, solution validation testing, documentation, and quality assurance.
- Support AI-ready datasets, semantic models, knowledge assets, and data structures for intelligent business solutions.
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, data transformations, and cloud-based data platforms.
- Working knowledge of data modeling, SQL, data quality practices, metadata management, and data governance principles.
- Ability to translate business and product requirements into scalable, performant, maintainable, and reusable technical solutions.
- Experience collaborating in Agile, cross-functional teams with product, engineering, analytics, and business stakeholders.
- Relevant exposure through student employment, internships, co-ops, extracurricular team activities, or equivalent coursework is preferred.
- Preferred knowledge includes Big Data technologies, Spark, Scala or Java, MapReduce, Hive, HBase, Kafka, clustered cloud computing, large-file cloud transfers, analytical solutions, IoT, data catalogs, lineage, certified data products, and AI/ML or GenAI initiatives.
- Licensing may be required for export-control or sanctions compliance.
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).