Data Engineer Job in Virtusa - Ang Mo Kio, S00, SG

Data Engineer

Ang Mo Kio, S00, SG, Singapore

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Job Description

At least 5 years of experience in data engineering, business intelligence, machine learning engineering, or a related role in a production environment. Familiarity with data governance frameworks (e.g., DAMA-DMBOK) and regulatory compliance (e.g., GDPR, CCPA). Hands on experience in Python and SQL. Experience with other programming languages (e.g., Java, Scala, C) is a plus. Experience in best practices such as DataOps and MLOps Experience with big data technologies and cloud platforms such as BigQuery, Kafka, GCP, AWS and their data engineering and machine learning products and services. Strong understanding of software development best practices, including version control (Git), testing, and CI/CD. Excellent communication and organizational skills, and the ability to stay focused on completing tasks and meeting goals within a busy workspace. Skilled at working in tandem with a team of engineers, or alone as required. Strong troubleshooting and analytical skills. Cloud and data certifications are a plus

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.

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