Sr. SQL Developer with PowerBI

About Us

We are developers of digital futures! Tietoevry creates purposeful technology that reinvents the world for good. We are a leading technology company with a strong Nordic heritage and global capabilities. Based on our core values of openness, trust, and diversity, we work with our customers to develop digital futures where businesses, societies, and humanity thrive. Our 24,000 experts globally specialize in cloud, data, and software, serving thousands of enterprise and public-sector customers in approximately 90 countries. Tietoevry's annual turnover is approximately EUR 3 billion, and the company's shares are listed on the NASDAQ exchange in Helsinki and Stockholm, as well as on Oslo Brs (www.tietoevry.com).

About EVRY USA

EVRY USA delivers IT services to a wide range of customers in the USA through its global delivery centers and India offices (EVRY India) in Bangalore & Chandigarh, India. We offer a comprehensive IT services portfolio and drive digital transformation across Banking & Financial Services, Insurance, Healthcare, Retail & Logistics, and Energy, Utilities & Manufacturing sectors. EVRY India's process and project maturity is very high the two offshore development centers in India are appraised at CMMI DEV Maturity Level 5 & CMMI SVC Maturity Level 5 and certified under ISO 9001:2015 & ISO/IEC 27001:2013.

Roles and Responsibility

• Database Developer with strong hands-on experience in PostgreSQL and working knowledge of Power BI, particularly in implementing Row-Level Security (RLS). The ideal candidate will have deep expertise in writing and optimizing complex SQL queries and a strong understanding of data modeling for reporting and analytics.
• Design, develop, and optimize complex SQL queries including stored procedures, triggers, CTEs, and flat table generation in PostgreSQL.
• Implement and manage Power BI datasets, reports, and dashboards.
• Configure and maintain RLS within Power BI to control data access and reports design in Power BI.
• Collaborate with analysts and business stakeholders to support reporting needs.
• Ensure performance tuning and query optimization across large datasets.