Job description
Transform and process source data into data products and enable egression to other platforms.
Develop efficient Data Lake frameworks using Scala, PySpark, or Python, with robust data quality and security controls.
Create reusable libraries and config-driven pipelines for enterprise-wide ingestion and integration.
Ensure compliance with data governance and security standards using tools like AWS DataZone, Lake Formation, AWS Glue and MWAA
Communicate effectively with internal stakeholders and contribute to team knowledge sharing.
Experience with CI/CD tools such as GitHub, GitHub Actions, ArgoCD, and automated deployment pipelines.
Experience with observability tools like Cloudwatch, Prometheus, or Grafana.
Exposure to AI/ML technologies, with the ability to integrate or leverage AI models to enhance data processing, automation, or system intelligence
Experience using DevSecOps methodologies and best practice to automate deployments and testing.
Demonstrable in Python, SQL, Spark, and Scala for distributed data processing.
Demonstrable experience with AWS Glue, Lambda, Redshift, Athena, Kinesis, and EMR.
Exposure to AWS Marketplace, API Gateway, and data monetisation strategies.
Performance tuning of ETL jobs and query optimisation for cost efficiency.
Design and develop next-generation data platforms and pipeline solutions.
Build and maintain backend services and integrations using Java Spring Boot, ensuring performance, scalability, and security.
Collaborate with engineering peers to co-create and contribute to shared practices and frameworks.
Apply modern coding standards to deliver high-quality, reliable solutions that address core business needs and reduce risk.
Strong experience in Java, Spring Boot, and RESTful API development.
Qualification
Transform and process source data into data products and enable egression to other platforms.
Develop efficient Data Lake frameworks using Scala, PySpark, or Python, with robust data quality and security controls.
Create reusable libraries and config-driven pipelines for enterprise-wide ingestion and integration.
Ensure compliance with data governance and security standards using tools like AWS DataZone, Lake Formation, AWS Glue and MWAA
Communicate effectively with internal stakeholders and contribute to team knowledge sharing.
Experience with CI/CD tools such as GitHub, GitHub Actions, ArgoCD, and automated deployment pipelines.
Experience with observability tools like Cloudwatch, Prometheus, or Grafana.
Exposure to AI/ML technologies, with the ability to integrate or leverage AI models to enhance data processing, automation, or system intelligence
Experience using DevSecOps methodologies and best practice to automate deployments and testing.
Demonstrable in Python, SQL, Spark, and Scala for distributed data processing.
Demonstrable experience with AWS Glue, Lambda, Redshift, Athena, Kinesis, and EMR.
Exposure to AWS Marketplace, API Gateway, and data monetisation strategies.
Performance tuning of ETL jobs and query optimisation for cost efficiency.
Design and develop next-generation data platforms and pipeline solutions.
Build and maintain backend services and integrations using Java Spring Boot, ensuring performance, scalability, and security.
Collaborate with engineering peers to co-create and contribute to shared practices and frameworks.
Apply modern coding standards to deliver high-quality, reliable solutions that address core business needs and reduce risk.
Strong experience in Java, Spring Boot, and RESTful API development.
Key job details
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 is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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