Senior Azure Data Engineer

POSITION: Senior Azure Data Engineer

LOCATION: Charlotte, NC 28217 (Hybrid 3 times per week)

PAY RANGE: $75.00 - $80.00 per hour

DURATION: 12-Month Contract with potential for permanent conversion!

REQUIRED EXPERIENCE:
• 7+ years of experience working as a Data Engineer, or similar.
• 3+ years of relevant professional experience Azure, specifically with Azure SQL DW/Synapse, Azure Tabular, Azure Data Factory, Azure Functions, Azure Containers.
• 3+ years of experience working with Databricks.
• 3+ years of experience working SSMS.
• 3+ years of experience working with PySpark.
• Extensive experience working with Azure SQL - Specifically writing complex SQL queries.
• Must have experience working for a client in the retail sector/industry.
• Deep experience with data engineering, big data and analytical technologies using Azure cloud-based data platforms.
• Knowledge of distributed data solutions, storage systems (ADLS) and columnar databases.
• Familiarity with Continuous Integration/Continuous Deployment.

PLUSSES:
• Experience working with Python
• Experience working with Docker
• DevOps experience
• Experience scripting with either PowerShell or Bash
• Any experience working with Power BI

SUMMARY:

A top Insight Global client in the retail industry is looking to hire a Senior Azure Data Engineer to join their team. This individual will be working on the client’s loyalty program initiative. You will be responsible for designing, building, and managing data pipelines that collect, process, and analyze data from various stores across different time zones. The client will utilize this data to provide future promotions and discounts to their clients moving forward.

Responsibilities:
• Prototype, build, deploy and manage data engineering pipelines using Azure Data Factory, Databricks/Spark, Azure Synapse/DW, Azure Analysis Services, and other tools.
• Write complex SQL queries to extract, transform, and load data from various sources.
• Work with distributed data solutions, storage systems and columnar databases.
• Contribute to design and creation of high-quality solutions that meet business requirements and follow best practices.
• Work with other data engineers, business intelligence and machine learning experts to solve real-life, challenging business problems using data and analytics.
• Familiarize with Continuous Integration/Continuous Deployment, & Git.
• Follow Agile development methods like Scrum or Kanban.

Compensation:

$75.00 - $80.00 per hour

Exact compensation may vary based on several factors, including skills, experience, and education.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.