Job Description

We are seeking a highly skilled and experienced Data Engineer with 6 9 years of experience to design, develop, and maintain scalable data pipelines and infrastructure on AWS. The ideal candidate will have strong expertise in AWS Glue, Redshift, Athena, and related AWS services. The role demands end to end ownership of data workflows, performance optimization, and delivering reliable data solutions to support business intelligence, analytics, and machine learning initiatives.


Design, build, and manage scalable and high-performance ETL ELT pipelines using AWS Glue, PySpark, and Step Functions.


Develop and optimize data warehousing solutions using Amazon Redshift for structured and semi-structured data.


Implement efficient query solutions using Amazon Athena, Redshift Spectrum, and data lake patterns.


Collaborate with data scientists, analysts, and business teams to understand data requirements and deliver reliable solutions.


Ensure data quality, integrity, and compliance through robust validation and transformation techniques.


Implement monitoring, logging, and alerting solutions for data pipeline health using CloudWatch and other AWS-native tools.


Manage and orchestrate jobs via AWS Glue Workflows, Step Functions, or custom schedulers (e.g., Apache Airflow).


Tune performance for ETL jobs and SQL queries in Redshift and Athena for faster execution.


Handle data modeling, schema design, and partitioning strategies for large-scale datasets.


Stay updated with AWS data services and recommend architecture improvements and cost optimizations.


Primary section




AWS Glue ETL PySpark


Amazon Redshift


Amazon Athena


Data Lake S3-based


SQL T-SQL, Redshift SQL


ETL Design & Data Pipelines


Data Modeling Star, Snowflake


AWS Lambda & Step Functions


AWS IAM, CloudWatch, SNS SQS


Secondary section




Apache Airflow or similar orchestration tool


Python Core scripting for ETL


Terraform or CloudFormation (IaC)


Data Quality Frameworks (e.g., Great Expectations)


Snowflake, BigQuery, or other DWs


DevOps tools (CI CD for data pipelines)

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.