DECAL Analytics Engineer

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Title: DECAL Analytics Engineer
Location: Atlanta, Georgia 30334

The Analytics Engineer will contribute to our modern data estate strategy by developing scalable data solutions using Microsoft Fabric and Azure Databricks. This role will be instrumental in building resilient data pipelines, transforming raw data into curated datasets, and delivering analytics-ready models that support enterprise-level reporting and decision-making.

Key Responsibilities:
Data Engineering & Pipeline Development
•Build and maintain ETL/ELT pipelines using Azure Databricks and Microsoft Fabric.
•Implement medallion architecture (Bronze, Silver, Gold layers) to support data lifecycle and quality.
•Develop real-time and batch ingestion processes from IES Gateway and other source systems.
•Ensure data quality, validation, and transformation logic is consistently applied.
•Use Python, Spark, and SQL in Databricks and Fabric notebooks for data transformation.
•Delta Lake: Implementing Delta Lake for data versioning, ACID transactions, and schema enforcement.
•Integration with Azure Services: Integrating Databricks with other Azure services like Azure One Lake, Azure ADLS Gen2, and Microsoft fabric.

Data Modeling & Curation
•Collaborate with the Domain Owners to design dimensional and real-time data models.
•Create analytics-ready datasets for Power BI and other reporting tools.
•Standardize field naming conventions and schema definitions across datasets.

Data Modeling:
•Dimensional modeling
•Real-time data modeling patterns

Reporting & Visualization Support
•Partner with BI developers to ensure data models are optimized for Power BI.
•Provide curated datasets that align with reporting requirements and business logic.
•Create BI dashboards and train users.

Required Qualifications:
•Bachelor's degree in computer science, Data Engineering, or related field.
•3+ years of experience in data engineering or analytics engineering roles.
•Advanced SQL: Proficiency in advanced SQL techniques for data transformation, querying, and optimization.
•Hands-on experience with:
o Azure Databricks (Spark, Delta Lake)
o Microsoft Fabric (Dataflows, Pipelines, OneLake)
o SQL and Python (Pandas, PySpark)
o SQL Server 2019+
•Familiarity with data modeling, data governance, and data security best practices.
•Strong understanding of ETL/ELT processes, data quality, and schema design.

Certifications (preferred):
•Microsoft Fabric Analytics Engineer.
Apply
Location:
Atlanta

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