3 days ago
Pune, IndiaSenior
Responsibilities
- Develop and maintain enterprise data products, pipelines, transformations, and curated datasets for reporting, analytics, automation, machine learning, and GenAI use cases.
- Automate ingestion and transformation of relational, event-based, and unstructured data using ETL/ELT tools or scripting languages.
- Design and implement scalable data storage architectures, physical data models, and distributed or cloud-based processing solutions.
- Monitor and troubleshoot data quality, data integrity, pipeline performance, and operational issues using alerts and monitoring mechanisms.
- Implement data governance practices for metadata, lineage, access, retention, discoverability, and certified data products.
- Translate stakeholder and product requirements into scalable, performant, maintainable, and reusable technical solutions.
- Collaborate with product managers, data engineers, data scientists, solution engineers, analysts, business stakeholders, and IT teams.
- Test, validate, document, and continuously improve data pipelines and solutions in accordance with quality, security, governance, and compliance requirements.
Requirements
- Bachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related technical discipline, or equivalent practical/relevant experience.
- Experience developing and supporting data integration, ETL/ELT processes, data pipelines, data transformations, and 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 translate business and product requirements into efficient, scalable, performant, maintainable, and reusable technical solutions.
- Experience collaborating in Agile, cross-functional teams with product, engineering, analytics, business, and IT stakeholders.
- Preferred exposure to Big Data open source technologies, Spark, Scala or Java, MapReduce, Hive, HBase, Kafka, clustered cloud computing, large-file movement, analytical solutions, and IoT technology.
- Preferred experience with 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).