Data Engineer T500-28134

Position: Data Engineer [T500-28134]
About CIBC:
CIBC is a leading North American bank, with a history of more than 150 years of living our purpose - to help make your ambition a reality. Client relationships are at the center of our strategy, and our growth is enabled by a highly engaged and connected global team. From digital banking to community impact, we’re proud to drive progress for our clients and our communities.

Recognized for our culture, award-winning innovation and community investment, CIBC continues to evolve by putting people and progress at the centre of everything we do.

About CIBC India:
CIBC India is a technology and operations hub in Hyderabad, where you’ll be part of our highly engaged and global team, and play a central role in supporting our growth. Whether you’re driving innovation in digital banking or streamlining client onboarding, you’ll be part of a culture recognized for excellence and investment in people. At CIBC India, people and progress are at the center of what we do: you’ll develop skills, collaborate with industry leaders, and see your ideas realized in a culture that values progress and belonging.

We provide cutting-edge resources, ongoing learning, and a supportive environment where people come first. If you’re ready to create meaningful change and build your future, CIBC India is where your ambition meets opportunity.

What CIBC India Offers:
At CIBC India, your goals are a priority. We start with your strengths and ambitions and strive to create opportunities to tap into your potential. We aspire to give you a career that goes well beyond your compensation.
We work to recognize you in meaningful, personalized ways including competitive fixed pay, performance-based incentive programs, a family-first benefits program, employer contributions for your retirement, attractive time off and leave offerings, wellbeing support, and Moment Makers, our social, points-based recognition program.
Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients worldwide
We cultivate a culture where you can express your ambition through initiatives like Purpose Day, a paid day off dedicated for you to use to invest in your growth and development.

What You’ll Be Doing (position summary):
The Data Engineer is responsible for designing, building, and supporting scalable data pipelines, data products, and integration solutions that enable reliable analytics, reporting, risk management, and business decision-making. The role requires strong hands-on experience with Databricks as a must-have capability, including development of ETL/ELT pipelines, data processing using Spark/PySpark, and implementation of modern data lakehouse patterns. The incumbent translates business and data requirements into secure, maintainable, and high-performing data engineering solutions, while partnering closely with technology teams, data owners, governance teams, and business stakeholders.

Considerable judgement and autonomy are exercised in day-to-day tasks, including data source analysis, pipeline design, data quality validation, performance tuning, troubleshooting, and production support.
At CIBC India we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (including on-site and remote work) will be discussed at the time of your interview.

How You’ll Succeed (responsibilities):
Data Engineering and Databricks Development:
Design, develop, test, and support scalable data pipelines using Databricks, Spark/PySpark, SQL, and related cloud data services.
Build and maintain ETL/ELT workflows that ingest, transform, validate, and publish data for analytics, reporting, and downstream applications.

Data Platform Implementation:
Participate in technical design, development, integration, and implementation of modern data solutions across cloud, data lake, warehouse, and enterprise data platforms.

Data Quality, Reliability, and Technical

Skills:

Work closely with business, technology, and data partners to understand data requirements, source system impacts, and downstream consumption needs.
Implement data quality…