Website virtusa
Virtusa Careers: Data Engineer – Spark/Scala (Chennai)
At Virtusa, we push the boundaries of technology to support Global 2000 companies. We are seeking an experienced Data Engineer with 5 years of hands-on expertise to join our team in Chennai.
In this role, you will be responsible for building and optimising high-performance data processing pipelines. If you have deep knowledge of Spark and Scala and a passion for modern DevOps through CI/CD, you belong at Virtusa.
The Role: Building High-Performance Data Architectures
You will work within a sophisticated data environment, ensuring that large-scale datasets are processed efficiently and reliably.
Key Responsibilities:
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Pipeline Development: Design and implement robust data processing workflows using Spark and Scala.
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Database Management: Leverage hands-on knowledge of RDBMS like MS-SQL and Oracle to manage complex data structures.
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DevOps Integration: Utilise CI/CD tools such as UDeploy to ensure seamless deployment and continuous integration.
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Strategic Analysis: Understand and navigate the Vanguard landscape to deliver tailored data solutions (a significant advantage).
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Optimisation: Fine-tune Spark jobs for performance and cost-efficiency in a production environment.
Your Technical Success Profile
We are looking for a developer who understands the nuances of distributed computing and the importance of automated delivery.
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Experience: 5 years of professional experience in Data Engineering.
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Core Technical Stack:
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Big Data: Hands-on mastery of Spark and Scala.
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RDBMS: Proficient in MS-SQL and Oracle.
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DevOps: Proven knowledge of CI/CD tools, specifically UDeploy.
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Preferred Knowledge: Familiarity with the Vanguard ecosystem and landscape.
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Location: Based in or willing to relocate to Chennai, Tamil Nadu.
Innovation & Ethics at Virtusa
At Virtusa, we lead with technology—even in our hiring process.
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AI-Driven Assessment: To ensure a fair and efficient candidate experience, Virtusa utilizes AI technology for pre-employment assessments. This allows us to focus on your actual technical merit and skills.
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Privacy First: Your data is used solely for assessment purposes in accordance with our strict employee privacy policy.
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Human-Centric Decisions: While we use AI for assessments, final employment decisions remain discretionary and human-led.
How to Apply
Ready to scale the future of data?
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Highlight Your Spark Success: Tell us about a time you optimised a Scala-based Spark job that significantly reduced processing time.
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Detail Your CI/CD Experience: Describe your experience using UDeploy to manage complex production releases.


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