Junior Data - Cloud Engineer [T500-28370]

CIBC India; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Competitive fixed pay

Performance-based incentive programs

Family-first benefits

Employer retirement contributions

Time off and leave offerings

Wellbeing support

MomentMakers recognition

Job summary

CIBC India, a technology and operations hub in Hyderabad, seeks a Cloud Data Engineer with 4+ years of hands-on Azure experience. You will design, develop, and maintain scalable data pipelines using ADF, Databricks, and Power BI to drive analytics and reporting for global clients.

You will work with Python, PySpark, SAS, and data modeling techniques to ensure data quality and enable data-driven decisions, while contributing to data mesh initiatives within cloud infra.

Qualifications

• 4+ years of hands on experience with Azure Data Factory, Azure Databricks, Power BI, Unity.
• 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.

Responsibilities

• Develop, implement, and maintain robust data pipelines using Azure Data Factory and Azure Databricks to support analytics and reporting.
• Design and optimize solutions for processing large data sets using Python, PySpark and SAS.
• Integrate data sources and ensure data quality with effective data modeling and validation.
• Build and maintain PowerBI dashboards and reports for stakeholders.
• Collaborate with cross-functional teams to translate requirements into scalable data solutions.
• Create comprehensive unit test cases and ensure reliability of data products.

Skills

Azure Data Factory

Azure Databricks

Power BI

Unity

Education

Bachelor’s degree in CS/Engineering/IT

Tools

Python

PySpark

SAS

Job description

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
• 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 Cloud 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 PowerBI to build and optimize data pipelines and analytics solutions The incumbent works with large data sets utilizing Python, PySpark, and SAS, and applies sound data modeling principles to enable effective data management and reporting The Cloud Data Engineer ensures the quality and reliability of data products through the creation of unit test cases and supports the implementation of data mesh architecture within the cloud infrastructure.

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):

• 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 solutions for processing large data sets leveraging Python, PySpark, and SAS.
• Integrate data sources and ensure data quality and integrity through effective data modeling and validation techniques.
• Build and maintain PowerBI dashboards and reports to deliver actionable insights to business stakeholders.
• Collaborate with cross-functional teams to understand reporting requirements and translate them into scalable data solutions.
• Create comprehensive unit test cases to ensure the reliability and accuracy of data products and solutions.
• Troubleshoot and resolve data issues, providing ongoing support for data operations.
• Apply knowledge of cloud infrastructure and data mesh architecture to design scalable and resilient data solutions.
• Ensure adherence to best practices in cloud data engineering and security standards.
• Collaborates with business analysts, data scientists, and IT teams to gather requirements and deliver data solutions.
• Works closely with cloud infrastructure and architecture teams to ensure alignment with organizational standards.
• Partners with external vendors as required for tool integration and support.

Experience: 4+ years of experience.

Who You Are (Skills / Qualifications):

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

Must Have Skills:

• 4+ years of hands on experience with Azure Data Factory, Azure Databricks, Power BI, Unity.
• 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.

Good to have Skills:

• Proficiency in handling large data sets using Python, PySpark and SAS.
• Big data platforms, cloud infrastructure, Data Mesh Architecture, 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.