Job Description

Position: Data Engineer

Location : Alpharetta, GA – On site

About the role:

We are seeking a hands-on, highly technical Data Engineer with a background in implementing data models distributed to end business users. In this role you will focus on ensuring data availability, data accuracy, and maintaining one source of truth. This role will have technical responsibilities involving SQL programming, utilizing the full Azure suite, and developing and implementing data governance practices. The right candidate will have experience working in a cross-functional global environment with excellent communication skills.

Key Responsibilities:

Data Engineering:

• Design and build end-to-end SQL database solutions to maintain one source of truth focusing on efficient data models for querying and analytics.
• Translate business requirements, recommend technologies, develop code, and troubleshoot data issues before end users identify them.
• Develop unit testing to ensure data availability and completeness, focusing on the semantic/ golden layer.
• Design, build, and maintain scalable data pipelines and storage solutions using modern tools and platforms (Azure, SQL Server, or equivalent).
• Optimize data flows for performance and scalability.

Data Governance:

• Design data classification and meta-data management strategies.
• Establish, enforce, and improve data governance policies to maintain data quality, consistency, and security.
• Ensure compliance with international data standards and regulations, adapting governance policies to align with global best practices.
• Drive the adoption of data governance tools and technologies to streamline data management processes.
• Support efforts to monitor and address data anomalies and inconsistencies.
• Define and monitor data quality metrics (e.g., completeness, timeliness, and validity).

Required Qualifications:

• Bachelor’s degree in computer science or related degree/experience.
• Expert in SQL Server, Python, or equivalent programming languages and SSIS experience
• Experience with Azure suite; Data Factory, Databricks, OpenAI, Data Lake, Azure SQL, Azure AI
• Experience with data governance principles and best practices.
• Strong understanding of data modeling, database design, and optimization.
• Demonstrated ability to reduce uncertainty and to manage ambiguity. Deals constructively with problems that do not have clear solutions.
• Excellent critical thinking skills and attention to detail.
• Experience working cross-functionally with business teams to deliver data solutions.
• Knowledge of data visualization tools (e.g., Power BI and Fabric) is a plus.

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