Azure Data Engineer

RESPONSIBILITIES:
Kforce has a client that is seeking a hybrid Azure Data Engineer to join their team in Atlanta, GA.

Responsibilities:
* Azure Data Engineer will design, develop, and implement analytics solutions on the Microsoft Azure Synapse Analytics Platform
* Develop ETL/ELT processes to collect and integrate data from various sources, ensuring data quality and pipeline performance for large volume data ingestion
* Utilize data preparation, integration, storage, and analytics tools within the Azure landscape
* Transform data into the appropriate format, schema, and structure to meet business requirements
* Load transformed data into Azure Synapse SQL Warehouse/Azure Data Lake Storage
* Implement error handling and monitoring processes to ensure data integration solutions operate smoothly and provide reliable data
* As an Azure Data Engineer, you will optimize data integration processes for performance and cost, by tuning queries, caching data, and managing resources
* Drive automation of repeatable data preparation tasks to minimize manual data management processes
* Collaborate with cloud service providers, data visualization, data governance, and other IT and business teams to deliver analytics solutions
* Provide troubleshooting, analysis, and resolutions for existing solutions, including routine production support issues and major/minor enhancements

REQUIREMENTS:
* Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, or a related field
* Microsoft Azure certifications in various analytics technologies are a plus
* Minimum of 8-10 years of hands-on experience in building data pipelines, data models, and maintaining/supporting enterprise data warehouse solutions
* 4+ years of experience with ETL and data cloud computing technologies, including Azure Data Lake, Azure Data Factory, Azure Synapse, Azure Logic Apps, Azure Functions, Azure Data Explorer, and Power BI or equivalent platforms
* 4+ years of experience in big data scripting languages like Python, SCOPE, SQL or equivalent
* 4+ years in one scripting language for data retrieval and manipulation (e.g., SQL or KQL)
* Strong SQL experience, data modeling, data warehouse, and OLAP concepts
* Experience in scaled Agile framework for data engineering product delivery
* Experience with Azure Data Lake Storage, Azure Synapse Analytics, Azure Spark Pools, Databricks Notebook, Cosmos DB, CDC tools, Python, DevOps, CI/CD
* Familiarity with data integration tools (e.g., Qlik Replicate) and data modeling tools (e.g., Erwin) is a plus
* Familiarity with data lake medallion architecture and concepts of Unified Data Models
* Experience with visualization tools such as Microsoft Power BI and Tableau is desired
* Experience with Microsoft SSIS, SSRS, SSAS is a plus
* Familiarity with contextualization products (e.g., Cognite) is a plus
* Familiarity with Scaled Agile, DevOps, Scrum, and ITIL concepts is a plus

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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