Data Engineer [T500-28134]

CIBC India; Hyderabad; Hybrid; INR 800,000 - 1,500,000; Full time

Benefits offered by this job

Family-first benefits

Retirement contributions

Wellbeing support

MomentMakers recognition

Job summary

CIBC India, based in Hyderabad, is seeking a Data Engineer to design, build, and support scalable data pipelines using Databricks and Spark/PySpark. You will translate business needs into secure, high‑performing data solutions and collaborate with technology, governance, and business teams.

Requires 5+ years in data engineering with hands‑on Databricks, SQL, and Azure data services. You’ll work in a hybrid on‑site/remote environment and contribute to data quality, compliance, and delivery of

Qualifications

• 5+ years of data engineering experience.
• Hands-on Databricks experience required.
• Strong Spark/PySpark, SQL skills and ETL/ELT development.
• Experience with Azure data services and data lakehouse concepts.
• Knowledge of data governance, metadata management, and secure data handling.

Responsibilities

• Design, develop, test, and support scalable data pipelines using Databricks, Spark/PySpark, SQL, and related cloud data services.
• Participate in design, development, integration, and implementation of modern data solutions across cloud, data lake, warehouse, and enterprise data platforms.
• Implement data quality checks, monitoring, validation controls, and troubleshooting for data accuracy and reliability.
• Ensure compliance with regulatory, privacy, information security, and governance standards in data pipelines.
• Build relationships with technology, governance, and business partners; communicate effectively.

Skills

Databricks

Spark/PySpark

SQL

Data pipelines

Data governance

Stakeholder comms

Tools

Azure Data Factory

Azure Data Lake Storage

Delta Lake

Job description

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 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 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.

Relationship Management:

• 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.

CROSS-FUNCTIONAL RELATIONSHIPS:

• Collaborates with peers inside and outside the work unit to identify, discuss, and resolve business and technical issues related to data engineering and platform delivery.
• Interacts regularly with business partners, data owners, technology teams, governance teams, and vendors to clarify requirements, exchange information, and resolve data-related issues.
• Works closely with internal clients to ensure data pipelines, data products, and supporting processes operate effectively, efficiently, and securely.

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 data pipelines, data processing patterns, and supporting business processes in order to enhance operational efficiency, data reliability, and effectiveness.

Experience:

5+ years of data engineering experience, including hands‑on Databricks experience as a must‑have requirement

Who You Are (skills/qualifications):

Must Have Skills:

• 5+ years of experience as a Data Engineer, Data Integration Developer, or similar role.
• Must have 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.

Good 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 is an asset.

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.