Data Engineer - Hybrid - Locals to NC

Hybrid in Raleigh, NC, US • Posted 3 hours ago • Updated 3 hours ago
Contract Independent
Contract W2
12 Months
No Travel Required
Hybrid
Depends on Experience
Fitment

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Job Details

Skills

  • Data Engineer
  • Azure SQL
  • Data Factory
  • Azure Data Lake Storage
  • snowflake schema
  • data modeling

Summary

Title:Data Engineer - Hybrid - Locals to NC
Location:Raleigh,NC
Length:Long term
Restriction:w2 or c2c
 
 
 
 
Description: 

***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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: msyca001
  • Position Id: KMZ - 7204
  • Posted 3 hours ago
Contact the job poster
SG

Shaji Gazni

Recruiter @ MSYS Inc.
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