Data Engineer - Hybrid - Locals to NC

***Mode of Interview:- Webcam Interview *** Very long term project(initial PO for 1 year, expect to go for 4+ years) ***Hybrid (3Days per Week Onsite) at Raleigh-NC***

Job Description:-

The client requires the assistance of a contract resource to serve as a Data Engineer responsible for the design, development, and optimization of data pipelines and analytics solutions/dashboards on cloud-based data platforms. This work will leverage Azure Synapse Analytics, Power BI, and integrations with Salesforce or Curam/Oracle to support program needs.

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.

Skills/Requirements:-

• 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