U.S. Bank logoU.S. BankVerified listing

Data Product Engineer

ChennaiOn-siteSenior

Good timing - competition is buildingPosted 5d ago

Applicants who checked fit first are 3.1× more likely to hear back

Before you apply

The post's words + ASAI's data
  • On-site in Chennai.

    OK with that?
  • 5+ years asked. Data Engineer roles in Chennai usually ask 3-8; 3 in 5 ask 5+.

    You have them?
  • No pay range in the post.

  • Not a repost. 4 of U.S. Bank's last 21 posts were reposts; all 15 of its open roles are here.

  • 45 Data Engineer roles posted in Chennai this week, 344 open. See them →

Skills listed in the post · tap the ones you have · 0 of 8

+7 more

You almost certainly match several of these already.

This post sets 2 stated bars and lists 8 skills. Tap where you stand - nothing is saved, no account needed.

ASAI checks this on every job for you, automatically, so you apply where you fit.

Fit Breakdown

Example
STRONGMATCH
Skills alignmentPartial
Experience fitPerfect

How an ASAI match score looks. Yours is built from your resume, not a guess.

Your score for this role already exists - sign in to view it

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Tools on this job

60-Day Pass
Inside ASAI, after a free sign-up

Starts free · 60-Day Pass ₹149 for 60 days, GST included

Free account, no card needed.

The job post

598 words · from U.S. Bank's careers site

At U.S. Bancorp India, we’re on a journey to do our best. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bancorp India gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.

Job Description

The Data Product Engineer is responsible for designing, developing, and operating scalable, reusable, and trusted data products that power business intelligence, advanced analytics, AI/ML solutions, and operational decision-making. This role combines modern data engineering practices with product thinking to build high-quality data assets that are discoverable, governed, and reusable across the enterprise. The engineer partners with business stakeholders, product managers, architects, data scientists, and platform teams to deliver data products that align with strategic business outcomes.  

Roles & Responsibilities 

  • Design, develop, deploy, and maintain enterprise data products and reusable data assets. 
  • Build scalable batch, streaming, and event-driven data pipelines. 
  • Create domain-oriented data products that support analytics, reporting, operational processes, and AI initiatives. 
  • Develop semantic models and curated datasets to enable self-service analytics capabilities.  
  • Design and optimize ETL/ELT pipelines for structured, semi-structured, and unstructured data. 
  • Integrate data from enterprise platforms, APIs, and cloud-based systems. 
  • Implement scalable ingestion, transformation, and orchestration frameworks. 
  • Build resilient solutions that support enterprise-scale data processing and consumption. Implement data quality validation, observability, monitoring, and remediation processes. 
  • Ensure data accuracy, completeness, timeliness, consistency, and reliability. 
  • Partner with governance teams to establish metadata and lineage practices. 
  • Develop solutions using modern cloud platforms such as Azure, AWS, or similar environments. 
  • Leverage data platforms such as Snowflake, Databricks, Synapse, Fabric, Redshift, or BigQuery. 
  • Optimize platform performance, scalability, resilience, and cost efficiency. 
  • Implement secure access controls and data protection standards.
  • Support regulatory, audit, and risk management requirements. 
  • Contribute to data cataloging, metadata management, and lineage  
  • Implement CI/CD pipelines and DevOps/DataOps best practices.  
  • Create technical documentation, architectural diagrams, support guides, and operational runbooks. 
  • Participate in Agile ceremonies and continuous improvement initiatives. 

Experience / Qualifications 

  • Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or related field. 

  • 5+ years of experience in Data Engineering, Analytics Engineering, Data Product Development, or related disciplines. 

  • Strong SQL expertise and proficiency in Python, Scala, Java, or similar development languages. 

  • Experience building modern ETL/ELT pipelines and data integration solutions. 

  • Hands-on experience with Azure, AWS, or cloud-native data platforms. 

  • Experience with Snowflake, Databricks, Microsoft Fabric, Synapse, Redshift, BigQuery, or equivalent platforms. 

  • Strong understanding of  Data Modeling, Data Warehousing, Metadata Management, Data Quality, Cloud Architecture, Experience with Git, CI/CD pipelines, and Agile methodologies.  
     

    Shift Timings - 11 AM - 8 PM

    Location - Chennai 

    Location expectations 
    This role requires working from a U.S. Bank location three (3) or more days per week

 

If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.

Posting may be closed earlier due to high volume of applicants.

This is an U.S. Bancorp India posting. U.S. Bancorp India is a part of the U.S. Bank family.

Free · no signup

Get tomorrow's jobs before you have to search

More Data Engineer roles in Chennai

See all

Keep browsing

All open roles at U.S. BankAll Data Engineer jobs in Chennai