Sr. Database Engineer – Microsoft BI Stack (SSIS/SSAS)

Location: Mumbai

Experience: 2 –4Years

Employment Type: Full-time

Position Overview:

We are seeking a hands-on Sr. Database Engineer with deep expertise in the Microsoft data and BI ecosystem to join our team for a strategic finance data warehousing and reporting engagement. The role focuses on designing and building a star-schema data warehouse on Microsoft SQL Server, developing high-performance ETL pipelines using SSIS, constructing SSAS semantic models, and integrating these with Power BI for enterprise-grade financial reporting.

The ideal candidate has worked on similar on-premises Microsoft BI implementations and is comfortable owning the full data pipeline from source extraction to semantic layer delivery.

Design, build, and maintain a star-schema data warehouse on SQL Server with fact and dimension tables for each finance domain.

Implement SCD Type 1 and Type 2 dimension maintenance logic with a master data change notification mechanism.

Build and maintain SSAS tabular/multidimensional models as the centralized semantic layer with KPI calculations and business rules.

Integrate the semantic layer with Power BI datasets; support Power BI report development team with data model optimization.

Implement row-level security (RLS) aligned to report recipient groups; maintain the role-entity mapping table independently.

Embed data quality measures in the data warehouse: uniqueness, completeness, validity, and integrity checks.

Create comprehensive technical documentation: data model, ETL flows, data lineage, KPI calculations, RLS design, and operating manuals.

Required Qualifications & Experience:

2–4 years of hands-on experience with Microsoft SQL Server including database design, performance tuning, and administration.

Strong hands-on experience developing and managing SSIS packages for complex ETL pipelines – scheduling, error handling, logging, incremental loads.

Proven experience building SSAS tabular or multidimensional models; semantic layer design with centralized KPI definitions and business rules.

Deep expertise in star/snowflake schema data warehouse design with fact and dimension tables, SCD Type 1/2 implementations.

Experience integrating SSAS/SQL Server data models with Power BI; and Power BI dataset design.

Strong proficiency in advanced T-SQL – stored procedures, views, CTEs, window functions, query performance tuning.

Experience implementing row-level security (RLS) in SQL Server and/or Power BI.

Experience with data quality frameworks – building validation checks, reconciliation logic, and data integrity monitoring.

Preferred / Bonus Skills:

Experience with Oracle Fusion ERP data extraction

Familiarity with Zebra BI visuals within Power BI

Experience with SharePoint list-based collaboration and commenting integrations.

Awareness of Power BI Service application deployment, bookmarks, drill-down/drill-up navigation, and guided navigation patterns.

Finance domain knowledge – General Ledger, AP, AR, Treasury, Revenue reporting cycles.

Microsoft certifications (DP-500, PL-300, or equivalent).

Soft Skills & Expectations:

Excellent communication skills – able to engage with finance stakeholders and translate business requirements into technical data models.

Strong documentation skills – ability to produce clear technical documentation, operating manuals, and data dictionaries.

Ownership mindset – comfortable taking end-to-end responsibility for data pipeline delivery.

Comfortable working in a rapid phased delivery engagement