Job Description

Responsibilities:


Build fully automated reusable data pipelines and operationalize them. Maintain and build complex data orchestration systems. Collaborate with colleagues across IT and within Business Data teams to understand specific project requirements and provide tailored, complete solutions that fit their needs, optimizing data architecture. Take ownership of engineering issues and drive resolut


Technical Requirements:


Overall experience should be 6+ years, with at least 3+ years of relevant experience. A strong understanding of Spark and Agile processes is expected. Hands-on experience with PySpark, Spark SQL, AWS, and Databricks is required.




Continuous Improvement and Innovation:


Collaborate with cross-functional teams to identify opportunities for process optimization and efficiency enhancements in data engineering workflows.

About Virtusa

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth -- one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.



Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.



Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.