Senior Data Engineer [T500-29640]

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 MomentMakers, 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 Senior Data Engineer is responsible for designing, developing, and maintaining scalable data solutions using cloud technologies. This role leverages expertise in Azure Data Factory, Azure Databricks, and Power BI to build and optimize data pipelines and analytics solutions. The incumbent works with large data sets using Python, PySpark, and SAS, and applies sound data modeling principles to support effective data management and reporting. The role also ensures the quality and reliability of data products through unit testing and supports the implementation of data mesh architecture within the cloud environment.

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 Solution Delivery:

• Develop, implement, and maintain robust data pipelines and workflows using Azure Data Factory and Azure Databricks to support business analytics and reporting needs.
• Design and optimize scalable solutions for processing large data sets using Python, PySpark, and SAS to improve performance and reliability.
• Integrate data from diverse sources and apply effective data modeling techniques to support scalable, consistent, and trusted data solutions.
• Apply cloud infrastructure, lakehouse, medallion architecture, and data mesh principles to design resilient and scalable data products.

Reporting, Analytics, and Data Quality:

• Build and maintain Power BI dashboards and reports to deliver actionable insights to business stakeholders.
• Ensure data quality, integrity, and consistency through validation, testing, and monitoring practices.
• Create and execute comprehensive unit test cases to ensure the reliability and accuracy of data products and solutions.
• Troubleshoot and resolve data issues to support ongoing data operations and reporting continuity.

Collaboration and Operational Effectiveness:

• Collaborate with business analysts, data scientists, and IT teams to gather requirements and translate business needs into scalable cloud data solutions.
• Work closely with cloud infrastructure and architecture teams to ensure alignment with organizational standards and technical best practices.
• Partner with external vendors as required for tool integration, platform support, and issue resolution.
• Recommend improvements to data engineering processes, standards, and workflows to enhance operational efficiency and effectiveness.

Risk, Governance, and Best Practices:

• Ensure adherence to best practices in cloud data engineering, security, and platform governance.
• Support the implementation of governed data solutions aligned with enterprise standards for privacy, compliance, and responsible data use.
• Contribute to the development of secure, maintainable, and production-ready cloud data assets.
• Maintain awareness of evolving tools, standards, and practices relevant to cloud data engineering and analytics delivery.

CROSS-FUNCTIONAL RELATIONSHIPS:

• This job collaborates closely with business analysts, data scientists, and IT teams to gather requirements, define solution needs, and deliver data products that support analytics and reporting objectives.
• This job works with cloud infrastructure and architecture teams to ensure data solutions align with enterprise cloud standards, security requirements, and architectural principles.
• This job interacts with business stakeholders to understand reporting needs and provide actionable insights through dashboards and data products.
• This job partners with external vendors, where required, for tool integration, technical support, and platform-related issue resolution.

COMPLIANCE REQUIREMENTS/RESPONSIBILITIES:

As an employee of CIBC, the incumbent must comply with all applicable CIBC and Line of Business policies, standards, guidelines and controls.

AUTHORITIES/DECISION RIGHTS:

As a key contributor to the business unit, this job has the authority to recommend changes to business processes in order to enhance operational efficiency and effectiveness.

JOB DIMENSIONS:

• Accountable for developing and maintaining cloud-based data pipelines, workflows, and reporting solutions using Azure Data Factory, Azure Databricks, and Power BI.
• Supports the integration of diverse enterprise data sources and the delivery of scalable data products for analytics and reporting use cases.
• Contributes to data quality, testing, operational support, and continuous improvement of cloud data solutions.
• Works across multiple stakeholder groups including business analysts, data scientists, IT teams, cloud infrastructure teams, architecture teams, and external vendors.
• Provides technical support and engineering expertise for large-scale data processing, cloud-based reporting, and governed data product delivery.

Experience: 7+ years of experience

Who You Are (skills/qualifications):

• Bachelor’s degree in computer science, Engineering, Information Technology, or a related field.

Must Have Skills:

• 7+ years of hands-on experience with Azure Data Factory, Azure Databricks, Power BI, and Unity Catalog/Unity.
• Strong knowledge of Azure Data Stack and cloud-based data engineering solutions.
• Solid understanding of cloud infrastructure and data mesh architecture.
• Experience in data modeling and integration of diverse data sources.
• Ability to create and execute unit test cases for data solutions.
• Excellent analytical, problem-solving, and communication skills.
• Technical Knowledge- Azure Data Stack,Azure,Azure Data Factory (ADF), Azure Databricks,Unity Catalog,Power BI,Medallion Architecture,Data Mesh,Lakehouse Architecture,Azure Data Lake Storage (ADLS),Data Lake technologies.

Good to Have:

• Proficiency in handling large data sets using Python, PySpark, and SAS.
• Experience with big data platforms and cloud infrastructure.
• Exposure to Data Mesh Architecture and AI frameworks.

Privacy:

By proceeding with the creation of a profile and submitting an application in response to this job posting, you acknowledge and agree that your personal data will be collected, used, retained and disclosed by CIBC India and its affiliates, as described in the Candidate Privacy Statement.