Power BI and Data engineer

Key Responsibilities:

• Analyze source systems and design, develop, and maintain scalable ETL/ELT pipelines using Azure Synapse, Azure Data Factory, and related Azure services.
• Build and manage data ingestion workflows from Salesforce, including API integrations, schema alignment, and performance tuning.
• Develop and maintain data models, data transformations,and semantic layers to support Power BI reporting and analytics.
• Optimize Synapse pipelines, SQL queries, and data storage for performance, reliability, and cost efficiency.
• Troubleshoot pipeline failures, Salesforce API issues,and Power BI dataset/dataflow refresh problems.

Required/Desired Skills

Skill Required /Desired Amount of Experience Strong Hands-on experience configuring, designing, developing and testing dashboards using Power BI Required 5 Years Experience supporting Power BI datasets, dataflows, and DirectQuery/Import models. Required 5 Years Experience working with structured and semi-structured data formats (JSON, CSV, Parquet, etc.). Required 3 Years Strong experience in designing and optimizing scalable data pipelines using modern platforms like Azure Synapse, Snowflake or Databricks workflows Required 3 Years SQL Mastery: Advanced query writing, ETL/ELT, performance tuning, and optimization. Required 5 Years Programming Languages: Strong proficiency in Python or Scala for data processing. Required 3 Years Hands-on experience in developing efficient PL/SQL procedures Required 5 Years Experience with Programming and Scripting (SQL, T-SQL, and data query optimization) Required 2 Years Solid understanding of Azure cloud services (Synapse, Data Lake, Data Factory, Azure SQL, monitoring tools). Required 2 Years Experience in Azure Data Lake Storage (ADLS), Delta Lake, and data modeling concepts and Warehousing (star schema, snowflake schema) Required 2 Years