Senior Azure Data Engineer-Hybrid
Raleigh, NC · HybridContractSeen 1 day agoSeen in employer's feed 1 day ago
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Job overview
The client seeks a contract Data Engineer to design, develop, and optimize data pipelines and analytics solutions on cloud-based data platforms. The work uses Azure Synapse Analytics and Power BI, with integrations involving Salesforce or Curam/Oracle. The project has an initial one-year purchase order and is expected to continue for four or more years. The role is hybrid, with three onsite days per week in Raleigh, North Carolina.
Skills & qualifications
Skills
Qualifications
Full job 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-NCLocal to NC Candidates Preferred***
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
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Analyze source systems and design, develop, and maintain scalable ETL/ELT pipelines using Azure Synapse, Azure Data Factory, and related Azure services.
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Build and manage data ingestion workflows from Salesforce, including API integrations, schema alignment, and performance tuning.
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Develop and maintain data models, data transformations, and semantic layers to support Power BI reporting and analytics.
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Optimize Synapse pipelines, SQL queries, and data storage for performance, reliability, and cost efficiency.
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Troubleshoot pipeline failures, Salesforce API issues, and Power BI dataset/dataflow refresh problems.
Skills/Requirements:-
Skill Required Years
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
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