Description

About the Role

An exciting opportunity has become available for a Data Engineer - Databricks to join Cognizant's Data Services team. Reporting to the Data Services Lead, this role is pivotal in supporting the development and evolution of our data and analytics platform. You will play a key role in designing scalable data solutions, enabling data-driven decision-making across the business, and providing technical guidance to cross-functional teams during a period of transformation and growth.

Key Responsibilities

• Design and develop scalable data engineering assets and feature engineering frameworks.
• Build and maintain robust data pipelines using Python, Databricks, Spark, and Azure technologies.
• Develop ETL solutions to integrate data from multiple sources into the analytics platform.
• Implement Azure Data Factory frameworks to support data migration and new project delivery.
• Expand platform capabilities by identifying and integrating new data sources.
• Automate manual processes and optimize data delivery for scalability and efficiency.
• Conduct peer code reviews and foster a DevOps culture within the team.
• Ensure data integrity and accuracy across reports and dashboards.
• Provide technical guidance and advisory support to business units.
• Contribute to the development of a best-practice data and analytics platform using next-gen technologies.

Experience & Qualifications

To be successful in this role, you skills and experience should include:

• Strong experience in MSBI/SSAS and Azure Data & Analytics services.
• Proven expertise in Azure Data Factory, Databricks, Azure Data Lake, and related technologies.
• Experience building data pipelines across diverse systems including Azure SQL DB, ADLS Gen2, and Delta Lake.
• Demonstrated leadership in managing data teams and projects.
• Passion for learning and applying new data tools and best practices.
• Experience working in Agile environments, both independently and in teams.
• Excellent communication and stakeholder engagement skills.
• Deep understanding of the data management lifecycle and data quality practices.
• Familiarity with tools and technologies such as Power BI, SQL Server, SSIS, SSRS, MongoDB, Graph databases, R, Python, Spark, GitHub, Jira, and Confluence.

Benefits
Joining Cognizant will give you the opportunity to learn and collaborate with some of the most talented people in the industry, while having your finger on the pulse of emerging industry trends and working on the cutting edge of technology in your field of expertise. We recognize that our people perform at their best when they feel valued as significant contributors and that is why at Cognizant, taking care of our employees is a priority:

• You can pursue innovative career tracks and opportunities here
• You can enhance your professional development through education and dedicated training
• We'll give you the skills you need to keep pace with the changing workplace while our compensation, benefits and wellness packages help you stay healthy and plan for the future.

Please reach out to our friendly and welcoming team today to apply and register your interest for this full-time hybrid Data Engineering position.

At Cognizant, we engineer modern businesses to improve everyday life because we're dedicated to making a lasting impact. Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at www.cognizant.com or @cognizant.