We are looking for a skilled AWS Data Engineer with strong experience in building and managing cloud-based ETL pipelines using AWS Glue, Python/PySpark, and Athena, along with data warehousing expertise in Amazon Redshift. The ideal candidate will be responsible for designing, developing, and maintaining scalable data solutions in a cloud-native environment.
Design and implement ETL workflows using AWS Glue, Python, and PySpark.
Develop and optimize queries using Amazon Athena and Redshift.
Build scalable data pipelines to ingest, transform, and load data from various sources.
Ensure data quality, integrity, and security across AWS services.
Collaborate with data analysts, data scientists, and business stakeholders to deliver data solutions.
Monitor and troubleshoot ETL jobs and cloud infrastructure performance.
Automate data workflows and integrate with CI/CD pipelines.
Required Skills & Qualifications:
Hands-on experience with AWS Glue, Athena, and Redshift.
Strong programming skills in Python and PySpark.
Experience with ETL design, implementation, and optimization.
Familiarity with S3, Lambda, CloudWatch, and other AWS services.
Understanding of data warehousing concepts and performance tuning in Redshift.
Experience with schema design, partitioning, and query optimization in Athena.
Proficiency in version control (Git) and agile development practices.
Job Summary:
We are looking for a skilled AWS Data Engineer with strong experience in building and managing cloud-based ETL pipelines using AWS Glue, Python/PySpark, and Athena, along with data warehousing expertise in Amazon Redshift. The ideal candidate will be responsible for designing, developing, and maintaining scalable data solutions in a cloud-native environment.
Design and implement ETL workflows using AWS Glue, Python, and PySpark.
Develop and optimize queries using Amazon Athena and Redshift.
Build scalable data pipelines to ingest, transform, and load data from various sources.
Ensure data quality, integrity, and security across AWS services.
Collaborate with data analysts, data scientists, and business stakeholders to deliver data solutions.
Monitor and troubleshoot ETL jobs and cloud infrastructure performance.
Automate data workflows and integrate with CI/CD pipelines.
Required Skills & Qualifications:
Hands-on experience with AWS Glue, Athena, and Redshift.
Strong programming skills in Python and PySpark.
Experience with ETL design, implementation, and optimization.
Familiarity with S3, Lambda, CloudWatch, and other AWS services.
Understanding of data warehousing concepts and performance tuning in Redshift.
Experience with schema design, partitioning, and query optimization in Athena.
Proficiency in version control (Git) and agile development practices.
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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