Senior Business Intelligence Engineer

Gemini Solutions; Gurugram District; Sur place; INR 2 500 000 - 4 000 000; Plein temps

Résumé du poste

Gemini Solutions in India seeks a seasoned Business Intelligence Engineer with 5–10 years of experience to design and implement the next-generation data ecosystem. The role bridges raw data and business strategy by building robust data pipelines, interactive visuals, and low-code apps.

You will craft end-to-end analytics, scale data pipelines on Snowflake, Databricks, and Fabric, and automate workflows with Power Platform tools, leveraging Python and Copilot for advanced analytics.

Qualifications

• 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.
• Mindset: A consultant’s approach—you don't just build what is asked; you build what is needed to solve the business problem

Responsabilités

• 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.

Connaissances

Power BI

Python

SQL tuning

Pandas

PySpark

Snowflake

Databricks

Microsoft Fabric

Power Apps

Power Automate

DAX

Power Query

Data modeling

Formation

B.Tech

M.Tech

M.Sc.

MBA

Outils

Databricks

Snowflake

Microsoft Fabric

Power Platform

Description du poste

We are seeking a seasoned Business Intelligence Engineer with 5–10 years of experience to lead the 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.
• Mindset: A consultant’s approach—you don't just build what is asked; you build what is needed to solve the business problem