CIBC is a leading North American bank with over 150 years of history, centered on helping clients achieve their ambitions through strong relationships and a highly engaged global team. CIBC India, based in Hyderabad, is a technology and operations hub where employees play a central role in supporting growth through innovation in digital banking, client onboarding, and more. The culture emphasizes progress, belonging, and investment in people, offering cutting-edge resources, ongoing learning, and a supportive environment. The Data Engineer role at CIBC India involves designing, building, and supporting scalable data pipelines and integration solutions to enable analytics, reporting, risk management, and business decision-making, with a strong focus on Databricks, Spark/PySpark, and modern data lakehouse patterns.
Responsibilities
- 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.
- Participate in technical design, development, integration, and implementation of modern data solutions across cloud, data lake, warehouse, and enterprise data platforms.
- Work closely with business, technology, and data partners to understand data requirements, source system impacts, and downstream consumption needs.
- Implement data quality checks, monitoring, validation controls, and troubleshooting practices to ensure data accuracy, completeness, timeliness, and reliability.
- Ensure adherence to regulatory, privacy, information security, and data governance standards in the design and operation of data pipelines.
- Provide technical guidance on data engineering design decisions, performance optimization, production support, and operational resiliency.
- Build strong relationships and partnerships with technical team members, clients, vendors, and peers.
- Lead discussions, listen, and ask questions to ensure problems/issues are identified and resolved.
- Communicate detailed information in an impactful way, verbally and in writing.
- Collaborate with peers inside and outside the work unit to identify, discuss, and resolve business and technical issues related to data engineering and platform delivery.
- Interact regularly with business partners, data owners, technology teams, governance teams, and vendors to clarify requirements, exchange information, and resolve data-related issues.
- Work closely with internal clients to ensure data pipelines, data products, and supporting processes operate effectively, efficiently, and securely.
- Comply with all applicable CIBC and Line of Business policies, standards, guidelines, and controls.
- Recommend changes to data pipelines, data processing patterns, and supporting business processes to enhance operational efficiency, data reliability, and effectiveness.
Requirements
- 5+ years of data engineering experience, including hands-on Databricks experience as a must-have requirement.
- 5+ years of experience as a Data Engineer, Data Integration Developer, or similar role.
- Hands-on experience with Databricks, including building and supporting production-grade data pipelines.
- Strong experience with Spark/PySpark, SQL, ETL/ELT development, data ingestion, transformation, and pipeline orchestration.
- Experience with Azure data services, including Azure Data Factory, Azure Data Lake Storage, and cloud-based data integration patterns.
- Good understanding of data lakehouse concepts, data modelling, data quality controls, metadata management, and secure data handling.
- Experience with production support, monitoring, troubleshooting, performance tuning, and operational resiliency for data pipelines.
- Ability to manage relationships with technology, data governance, and business partners.
- Advanced verbal and written communication skills, with the ability to explain data engineering concepts clearly to technical and non-technical stakeholders.
Nice to have
- Experience with Delta Lake, medallion architecture, streaming data, API-based ingestion, Kafka, Autosys, GitHub, CI/CD, or DevOps practices.
- Exposure to legacy data platforms such as Netezza, Oracle, PL/SQL, or Informatica.
Benefits
- Competitive fixed pay.
- Performance-based incentive programs.
- Family-first benefits program.
- Employer contributions for retirement.
- Attractive time off and leave offerings.
- Wellbeing support.
- MomentMakers, a social, points-based recognition program.
- Cutting-edge resources and technological toolkit for collaboration and innovation.
- Purpose Day, a paid day off dedicated to investing in personal growth and development.
Additional details
- 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.
- 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.
Zobhira
