Azure Data Engineer - Hybrid

Azure Data Engineer

Location : Durham, NC, United States

Length and terms : Long term - W2 or C2C

Responsibilities

Synapse :

• Design, develop, and maintain data models in Synapse to support reporting and analytics
• Develop ETL solutions using Azure Synapse Analytics Pipelines and dedicated SQL pools for extraction, transformation, and aggregation from Salesforce objects
• Analyze the source system and design the ETL data load
• Ability to create and configure Azure Synapse Analytics workspace
• Create pipelines in Azure Synapse using Linked Services / Datasets / Pipeline to extract, transform, and load data from different sources like Salesforce
• Perform needed monitoring, troubleshooting, and maintenance of the data architecture and pipelines

Power BI Tools :

Required Skills

Experience in designing and optimizing scalable data pipelines using modern platforms like Azure Synapse, Snowflake or Databricks workflows. 3 years

Programming Languages : Strong proficiency in Python or Scala for data processing. 3 years

SQL Mastery : Advanced query writing, performance tuning, and optimization. 5 years

Hands-on experience in developing efficient PL / SQL procedures. 5 years

Experience with Programming and Scripting (SQL, T-SQL, and data query optimization). 1 year

Highly Desired Skills

Experience with Azure Data Platform (Azure Data Factory, Azure Data Lake, and Azure SQL Database). 1 year

Experience with cloud platforms (e.g. AWS and Azure) and associated services for data processing and storage. 1 year

Nice-to-Have Skill

Experience with Power BI. 1 year

Contact the recruiter working on this position : Chinmayee Patro (Raghu Team) His / her contact number is +(1) (202) 6979490 His / her contact email is chunlipatro@