Sr Data Engineer - Microsoft BI - 1 Year Contract, Full-Time Conversion possible

Role: Sr Data Engineer - Microsoft BI - 1 Year Contract, Full-Time Conversion possible Location: Mumbai Airoli Work Model: First 3 months: 5 days WFO. After 3 months: 3 days WFO + 2 days WFH. 2 weekly offs. Experience: 6- 10 Years Role Overview We are seeking an experienced Senior Data Engineer with strong expertise in the Microsoft BI stack to design, develop, and maintain enterprise reporting and analytics solutions within a global banking environment. The role involves building scalable BI solutions, optimizing data platforms, and collaborating with cross-functional teams to support business-critical reporting needs. Key Responsibilities Design, develop, and maintain Microsoft BI solutions. Develop and optimize SQL Server databases, queries, and data models. Build and support SSIS ETL processes, SSRS reports, and Power BI dashboards. Develop and maintain SSAS Tabular models using DAX and MDX. Collaborate with Business Analysts, Architects, and Product Managers to deliver business-focused solutions. Maintain high delivery quality through coding standards, reviews, and documentation. Create and manage CI/CD pipelines using Azure DevOps. Troubleshoot and resolve application, data, and reporting issues. Build POCs and propose innovative BI solutions. Automate recurring processes and improve operational efficiency. Mentor junior team members and conduct peer reviews. Must-Have Requirements 8+ years of IT experience with at least 6+ years in Microsoft BI technologies. Strong experience with SQL Server (2017/2022). Expertise in SQL query optimization and performance tuning. Hands-on experience with: SSIS (ETL Development) SSRS (Reporting) Power BI SSAS Tabular Models DAX and MDX Experience with C# development for SSIS solutions. Strong knowledge of Data Warehousing, Data Modeling, and Historization. Experience with Azure DevOps and CI/CD implementation. Familiarity with Agile and SDLC methodologies. Banking or financial services domain experience preferred. Good to Have Python, PySpark, or Apache Airflow experience. Kubernetes and Microservices exposure. Experience with Vertica or other MPP databases. PowerShell scripting. Knowledge of Cognos, Tableau, or Qlik. Exposure to cloud-based data engineering solutions. Candidate Profile Strong analytical and problem-solving skills. Effective communicator with stakeholder management capabilities. Team-oriented and collaborative mindset. Ability to work across global teams and business functions. Leadership experience and mentoring capability. Self-driven with a continuous learning attitude. Additional Notes Industry: Banking / Financial Services Microsoft BI Stack expertise is mandatory. Strong data warehousing and reporting background required. Experience working in regulated enterprise environments is preferred. Candidates with Azure DevOps and modern BI architecture experience will be prioritized.