Data Product Engineer

Elavon; Chengalpattu; Hybrid; INR 1,800,000 - 3,000,000; Full time

Job summary

U.S. Bancorp India invites applications for a Data Product Engineer who designs, builds, and operates scalable data products powering BI, analytics, and AI/ML initiatives.

You will collaborate with stakeholders across product, analytics, and platform teams to deliver governed, reusable data assets. This role requires strong SQL and programming skills, experience with Azure/AWS and platforms like Snowflake, Databricks, Synapse, or BigQuery, and hands-on ETL/ELT pipeline development.

Qualifications

• Bachelor’s degree in Computer Science, IT, Data Engineering or related field.
• 5+ years in Data Engineering, Analytics Engineering or Data Product Development.
• Strong SQL expertise and proficiency in Python, Scala, Java.
• Experience building modern ETL/ELT pipelines and data integration.
• Hands-on experience with Azure, AWS or cloud-native platforms.
• Experience with Snowflake, Databricks, Fabric, Synapse, Redshift, BigQuery or similar.

Responsibilities

• Design, develop, deploy, and maintain enterprise data products and assets.
• Build scalable batch, streaming, and event-driven data pipelines.
• Create domain-oriented data products for analytics and AI initiatives.
• Develop semantic models and curated datasets for self-service analytics.
• Design and optimize ETL/ELT pipelines for various data types.
• Integrate data from enterprise platforms and cloud systems.
• Implement scalable ingestion, transformation, and orchestration frameworks.
• Ensure data quality, observability, and governance alignment.
• Develop solutions on Azure/AWS and data platforms like Snowflake/Databricks.
• Document architecture and operate in Agile, CI/CD, DataOps practices.

Skills

SQL

Python/Scala/Java

Data modeling

CI/CD pipelines

Git

Education

Bachelor's degree in CS/IT/Data Eng

Tools

Snowflake

Databricks

Microsoft Fabric

Synapse

Redshift

BigQuery

Azure

AWS

Job description

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

• Bachelors 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.