Senior Business Intelligence Engineer
POSITION SUMMARY
- We are seeking a seasoned Business Intelligence Engineer with 5–10 years of experience to lead design and implementation of our next-generation data ecosystem. You will bridge the gap between raw data and business strategy by building robust data pipelines, interactive visualizations, and low-code applications. The ideal candidate is a "Data Polyglot” equally comfortable writing Python scripts, optimizing Snowflake warehouses, and building Power Apps to streamline business workflows.
POSITION RESPONSIBILITIES
- • End-to-End Analytics: Design, develop, and maintain enterprise-scale dashboards in Power BI.
- • Data Engineering & Architecture: Build scalable data pipelines and transformation layers using Databricks, Snowflake, and the Microsoft Fabric ecosystem.
- • Workflow Automation: Utilize the Power Platform (Power Automate, Power Apps) to
- automate manual data entry and business processes.
- • Advanced Analytics: Write production-grade Python for data manipulation, analysis, and integrating Copilot features to enhance user productivity.
- • Optimization: Expert-level SQL tuning to ensure high performance across large-scale datasets.
- • Governance & Strategy: Establish best practices for data modeling, security, and
- documentation within the Fabric/Lakehouse environment.
- • Expert proficiency in Power BI, specifically utilizing DAX and Power Query for complex data modeling.
- • Hands-on experience with major cloud platforms: Snowflake, Databricks, and Microsoft Fabric.
- • Advanced SQL: Mastery of window functions and Common Table Expressions (CTEs).
- • Deep knowledge of Pandas and PySpark for data manipulation and big data processing.
- • Full mastery of the Power Platform, including building custom solutions with Power Apps and automating logic with Power Automate.
- • Practical experience using Microsoft Copilot to accelerate development in DAX, SQL, or general workflow automation.
EXPERIENCE AND REQUIRED SKILL SETS
- • Education: B.Tech, M.Tech, M.Sc., or an MBA with a strong technical/analytical focus from a reputable institution.
- • Experience: 5–10 years in a BI or Data Engineering role.