
10,000+ employees
Founded 1996
đź’Ľ Consulting
🏢 Enterprise
🤖 Artificial Intelligence
đź’° $108M Post-IPO Equity - Virtusa on 2017-05
Consulting • Enterprise • Artificial Intelligence
Virtusa is a global technology services and consulting company that helps enterprises reimagine their business through digital engineering, AI-driven and domain-focused solutions. It offers consulting, design, engineering, automation, analytics and optimization services, and partners with organizations across banking & financial services, communications, healthcare, insurance, retail, manufacturing and other industries to deliver enterprise-scale technology and AI solutions. Virtusa emphasizes AI services, domain-driven solutions for the AI enterprise, and end-to-end digital transformation.
🔥 1 minute ago
🇺🇸 United States – Remote
⏰ Full Time
🟡 Mid-level
đźź Senior
đźš° Data Engineer
đź‘» Ghost score 10%
Where this job comes from
Posted on Virtusa's careers page, not through a job board
First seen by Remote Rocketship 1 minute ago

10,000+ employees
Founded 1996
đź’Ľ Consulting
🏢 Enterprise
🤖 Artificial Intelligence
đź’° $108M Post-IPO Equity - Virtusa on 2017-05
Consulting • Enterprise • Artificial Intelligence
Virtusa is a global technology services and consulting company that helps enterprises reimagine their business through digital engineering, AI-driven and domain-focused solutions. It offers consulting, design, engineering, automation, analytics and optimization services, and partners with organizations across banking & financial services, communications, healthcare, insurance, retail, manufacturing and other industries to deliver enterprise-scale technology and AI solutions. Virtusa emphasizes AI services, domain-driven solutions for the AI enterprise, and end-to-end digital transformation.
• Design and maintain robust data pipelines • Optimize relational databases • Deliver accurate reporting models supporting business decisions across sales, finance, and operations • Write, review, and optimize complex SQL queries, stored procedures, and database structures in MS SQL Server and MySQL • Build, deploy, and maintain ETL/ELT processes primarily using SQL Server Integration Services (SSIS) • Build end-to-end data models, calculated columns, and measures using DAX and Power Query • Develop, deploy, and maintain interactive Power BI reports and executive dashboards • Conduct data validation, reconciliation testing, and root-cause analysis of data discrepancies • Provide operational support, performance tuning, and troubleshooting for databases backing internal business applications • Partner with software developers and non-technical stakeholders in Sales, Finance, and Contracts to translate requirements into scalable technical solutions
• Strong experience with MS SQL Server (T-SQL), including complex queries, stored procedures, functions, and query performance optimization • Good knowledge of MySQL administration and query development • Experience building and maintaining ETL processes, particularly using SQL Server Integration Services (SSIS) • Ability to design end-to-end data processing workflows from source systems to reporting layers • Experience developing advanced reports and dashboards in Power BI • Data modeling in Power BI, including relationships, hierarchies, and schema design • Proficiency in DAX and Power Query • Experience publishing reports and managing Power BI workspaces, including access control and security settings • Experience in data validation and reconciliation testing • Ability to define and implement data quality rules • Competence identifying and analyzing business data discrepancies and errors • Experience working in on-premises environments with SQL Server and MySQL • Experience across DEV, TEST, and PROD development stages • Ability to collaborate with application development teams on database integrations • Troubleshooting and performance tuning for database systems • Maintenance and operational support of databases used by business applications • BigQuery experience, including SQL and ETL processes in Google Cloud Platform (nice to have) • Basic Python knowledge for data analysis (nice to have)
• Remote work arrangement
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