Data Engineer

Why Zensar?

We’re a bunch of hardworking, fun-loving, people-oriented technology enthusiasts. We love what we do, and we’re passionate about helping our clients thrive in an increasingly complex digital world. Zensar is an organization focused on building relationships with our clients and with each other—and happiness is at the core of everything we do. In fact, we’re so into happiness that we’ve created a Global Happiness Council, and we send out a Happiness Survey to our employees each year. We’ve learned that employee happiness requires more than a competitive paycheck, and our employee value proposition—grow, own, achieve, learn (GOAL)—lays out the core opportunities we seek to foster for every employee. Teamwork and collaboration are critical to Zensar’s mission and success, and our teams work on a diverse and challenging mix of technologies across a broad industry spectrum. These industries include banking and financial services, high-tech and manufacturing, healthcare, insurance, retail, and consumer services. Our employees enjoy flexible work arrangements and a competitive benefits package, including medical, dental, vision, 401(k), among other benefits. If you are looking for a place to have an immediate impact, to grow and contribute, where we work hard, play hard, and support each other, consider joining team Zensar!

Zensar is looking for a Data Engineer in the United States (Onsite). This position is open for Full Time with excellent benefits and professional growth opportunities.

About the Role

Data Pipeline Development

• Build and maintain scalable data pipelines for ingestion, transformation, and storage.
• Automate workflows to ensure smooth data flow across systems.

Database Management

• Design, implement, and optimize relational (SQL) and non-relational (NoSQL) databases.
• Ensure data is structured for efficient retrieval and analysis.

Data Architecture \& Modeling

• Create and maintain data models that support analytics and machine learning.
• Align data systems with business objectives.

ETL (Extract, Transform, Load) Processes

• Develop ETL frameworks to clean, transform, and integrate data from multiple sources.
• Ensure data quality, consistency, and accuracy.

Experience:

• 5 years of experience in managing service delivery for big organization.
• Proven hands-on expertise in data engineering with Snowflake and Databricks, including building and optimizing large-scale data pipelines.
• Strong understanding of data architecture fundamentals such as ingestion, transformation, storage, and access management.
• Solid experience in system and solution architecture, focusing on scalability, reliability, and maintainability.
• Extensive knowledge of ETL/ELT pipeline development, covering extraction, transformation, validation, and loading processes.
• Deep expertise in data modeling techniques, including dimensional modeling, star schema, and snowflake schema.
• Ability to optimize compute and storage costs across Snowflake and Databricks platforms.
• Proficiency in platform administration, including database design, schema management, user roles, permissions, and access controls.
• Hands-on experience implementing data lineage, data quality, and monitoring frameworks.
• Advanced proficiency in SQL for data processing, transformation, and automation.
• Strong experience in Power BI (data modeling, DAX, dashboard development) along with modern BI tools such as Sigma Computing and ThoughtSpot.
• Strong communication and collaboration skills, with the ability to work independently and drive technical initiatives.

Education:

• Bachelor’s / Master’s Degree – Information Technology

Zensar believes that diversity of backgrounds, thought, experience, and expertise fosters the robust exchange of ideas that enables the highest quality collaboration and work product. Zensar is an equal opportunity employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Zensar is committed to providing veteran employment opportunities to our service men and women. Zensar is committed to providing equal employment opportunities for people with disabilities or religious observances, including reasonable accommodation when needed. Accommodation made to facilitate the recruiting process are not a guarantee of future or continued accommodation once hired.

All applicants must be legally authorized to work with Zensar. Visa sponsorship may be available for qualified applicants for certain positions.

Zensar values your privacy. We’ll use your data in accordance with our privacy statement located at: https://zensar.com/privacy-notice