Senior Data Engineer - (Power BI, ADF, SSIS)

About Beyond Key

We are a Microsoft Gold Partner and a Great Place to Work-certified company. "Happy Team Members, Happy Clients" is a principle we hold dear. We are an international IT consulting and software services firm committed to providing. Cutting-edge services and products that satisfy our clients' global needs. Our company was established in 2005, and since then we've expanded our team by including more than 350+ Talented skilled software professionals. Our clients come from the United States, Canada, Europe, Australia, the Middle East, and India, and we create and design IT solutions for them. If you need any more details, you can get them at https://www.beyondkey.com/about.

Job Description

We are looking for a Senior Data Engineer with strong expertise in Power BI, Azure Data Factory (ADF), and SSIS to design, develop, and optimize data solutions that support strategic decision-making. The ideal candidate will bring hands-on experience with data warehousing, advanced analytics, and cloud-based data pipelines, and will work closely with cross-functional teams to drive scalable data architectures.

Key Responsibilities

• Design, develop, and maintain interactive Power BI dashboards & reports with advanced DAX, Power Query, and custom visuals.
• Develop and automate ETL/ELT pipelines using Azure Data Factory (ADF) and SSIS.
• Architect and manage modern data warehousing solutions (Star/Snowflake Schema) using Azure or On premise SQL Server.
• Implement data modeling, performance tuning, and optimization for large-scale datasets.
• Collaborate with business teams to translate requirements into scalable analytics solutions.
• Ensure data governance, security, and compliance across BI platforms.
• Mentor junior team members on Azure, Power BI, and cloud data best practices.
  
  

Required Skills & Qualifications

• 7+ years of hands-on experience in Power BI, SQL, Data Warehousing, and ETL/ELT.
• Proficient in Azure Data Factory (ADF) for orchestration and data integration.
• Advanced SQL (query optimization, stored procedures, partitioning).
• Experience with data warehousing (dimensional modeling, SCD, fact/dimension tables).
• Knowledge of Power BI Premium/Fabric capacity, deployment pipelines, and DAX patterns.
• Knowledge of building and optimize end-to-end data solutions using Microsoft Fabric (OneLake, Lakehouse, Data Warehouse).
• Familiarity with Databricks, PySpark, or Python (for advanced analytics) is a plus.
• Strong problem-solving and communication skills.
  
  

Preferred Qualifications

• Microsoft Certifications (PL-300: Power BI, DP-600: Fabric Analytics Engineer).
• Experience with Azure DevOps (CI/CD for Fabric/Power BI deployments).
• Domain knowledge in BFSI, Heathcare, Retail, or Manufacturing.
  
  

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