1. Design, build data cleansing and imputation, map to a standard data model, transform to satisfy business rules and statistical computations, and validate data content.
Develop, modify, and maintain Python and Unix Scripts, and complex SQL
Performance tuning of the existing code and avoid bottlenecks and improve performance
Build an end-to-end data flow from sources to entirely curated and enhanced data sets.
Develop automated Python jobs for ingesting data from various source systems
Provide technical expertise in areas of architecture, design, and implementation.
Work with team members to create useful reports and dashboards that provide insight, improve/automate processes, or otherwise add value to the team.
Write SQL queries for data validation.
Design, develop and maintain ETL processess to extract, transform and load Data from various sources into the data warehours
Colloborate with data architects, analysts and other stake holders to understand data requirement and ensure quality
Optimize and tune ETL processes for performance and scalaiblity
Develop and maintain documentation for ETL processes, data flows, and data mappings
Monitor and trouble shoot ETL processes to ensure data accuracy and availability
Implement data validation and error handling mechanisms
Work with large data sets and ensure data integrity and consistency
skills
Python,
ETL Tools like Informatica, Talend, SSIS or similar
SQL, Mysql,
Expertise in Oracle, SQL Server and Teradata
DeV Ops, GIT Lab
Exp in AWS glue or Azure data factory
1. Design, build data cleansing and imputation, map to a standard data model, transform to satisfy business rules and statistical computations, and validate data content.
Develop, modify, and maintain Python and Unix Scripts, and complex SQL
Performance tuning of the existing code and avoid bottlenecks and improve performance
Build an end-to-end data flow from sources to entirely curated and enhanced data sets.
Develop automated Python jobs for ingesting data from various source systems
Provide technical expertise in areas of architecture, design, and implementation.
Work with team members to create useful reports and dashboards that provide insight, improve/automate processes, or otherwise add value to the team.
Write SQL queries for data validation.
Design, develop and maintain ETL processess to extract, transform and load Data from various sources into the data warehours
Colloborate with data architects, analysts and other stake holders to understand data requirement and ensure quality
Optimize and tune ETL processes for performance and scalaiblity
Develop and maintain documentation for ETL processes, data flows, and data mappings
Monitor and trouble shoot ETL processes to ensure data accuracy and availability
Implement data validation and error handling mechanisms
Work with large data sets and ensure data integrity and consistency
skills
Python,
ETL Tools like Informatica, Talend, SSIS or similar
SQL, Mysql,
Expertise in Oracle, SQL Server and Teradata
DeV Ops, GIT Lab
Exp in AWS glue or Azure data factory
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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