Data Product Engineer
U.S. Bank (company site, opens in a new tab)5+ yrsChennaiOn-siteDirect career pageEst. 15–28 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, deploy, and maintain scalable enterprise data products and reusable data assets supporting analytics, reporting, AI, and operational processes.
- Build and optimize batch, streaming, and event-driven data pipelines across structured, semi-structured, and unstructured data integrating multiple platforms and cloud environments.
- Implement data quality validation, observability, security controls, and support metadata management and lineage to ensure data accuracy, timeliness, and compliance.
Minimum Requirements
- Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or related field.
- Minimum 5 years of experience in Data Engineering, Analytics Engineering, or Data Product Development.
- Proficiency in SQL and programming languages such as Python, Scala, Java; hands-on experience with cloud platforms like Azure or AWS; experience with data platforms such as Snowflake, Databricks, Synapse, or BigQuery.
- Ability to work onsite in Chennai at a U.S. Bank location at least 3 days per week and availability to work 11 AM - 8 PM shift timings.
Ideal Candidate Profile
- Experienced in building domain-oriented data products with a product mindset aligned to strategic business outcomes in enterprise settings.
- Strong technical background in modern data engineering practices including ETL/ELT pipelines, data modeling, metadata management, and agile development.
- Familiarity with cloud-native architectures and data platforms, and capable of implementing scalable, reliable, and secure data solutions while supporting governance and regulatory requirements.