DOE Database Developer

Agama Solutions•Atlanta, GA

3d•Onsite

About The Position

The DOE Database Developer will collaborate with internal customers, prospects, and stakeholders to understand and translate business use cases and/or requirements into data analysis, data mapping, and data integration routines. This involves moving, cleansing, and transforming large amounts of data between multiple systems. The role includes identifying data sources, providing data flow diagrams, and documenting source-to-target mapping and processes. The developer will collaborate with the Data Architect to recommend optimal data models for data ingestion and with BI developers for analytic reports. Additionally, the role involves providing technical enablement to team members developing database applications on-premise or in the cloud, designing, implementing, and maintaining database objects (tables, views, indexes, etc.) and database security. Collaboration with data stewards, data owners, and domain experts to adopt best practices in reporting and analysis (data integrity, test design, validation, documentation) is key. The position requires maintaining data warehouse performance through optimization of batch processing, performance tuning, and working with the Data Architect to establish processes for governing educational metadata. Ensuring data quality through audit controls, proactive monitoring, and data cleansing techniques is also a responsibility. The developer will be responsible for scheduled data processes integrity checks, performing deployments, and coordinating releases. Experience with Source Version Control software like GitHub and CI/CD pipelines is needed. On-call support after hours may be required.

Requirements

5+ years of experience in Data Warehousing and Business Intelligence
3+ Years in BI development leveraging the Microsoft SQL Server.
Expert in T-SQL
5+ Years in SSIS and use of Stored Procedures.
2+ Years of experience in PowerBI
Ingest and aggregate data from both internal and external data sources to build our data warehouse.
Strong understanding data modeling (i.e., conceptual, logical, and physical model design, experience with Operation Data Stores, Enterprise Data warehouses and Data Marts).
Deep understanding of relational database design concepts and SQL programming
Experience guiding/mentoring developers with lesser experience.
Requires strong analytical, conceptual, and problem-solving abilities.
Strong experience with business intelligence and data warehousing design principles and industry best practices.
Bachelor's degree – preference in computer/information sciences or business/commerce.

Nice To Haves

Azure Data Warehousing and Business Intelligence
BI development leveraging the Microsoft SQL Server 2014+
Azure Data Factory, SQL VMs, build and maintain ETL
Azure Data Warehouse (Synapse)
Power BI
1-2 Years in Azure Data Warehouse (Synapse)
1-2 Years in Azure Data Factory, SQL VMs, build and maintain ETL and Data lake

Responsibilities

Collaborate with internal customers, prospects, and stakeholders to understand and translate business use cases and/or requirements into data analysis and data mapping and consequently data integration routines which involves moving, cleansing, and transforming large amount of data between multiple systems.
Identifies data sources, provides data flow diagrams, and documents source to target mapping and process.
Collaborate with the Data Architect to recommend optimal data models for data ingestion and BI developer for analytic reports.
Provide technical enablement to team members developing database applications on premise or on a cloud platform.
Design, implement and maintain database objects (tables, views, indexes, etc.) and database security.
Collaborate with data stewards, data owners and domain experts to recognize and help adopt best practices in reporting and analysis: data integrity, test design, validation, and documentation.
Maintain the data warehouse performance by optimizing batch processing through parallelization, performance tuning etc.
Work with the Data Architect to establish processes for governing the identification, collection, and use of educational metadata to assure metadata is accurate and valid in the business intelligence environments.
Ensure data quality through creation of audit controls, proactive monitoring, and data cleansing techniques.
Responsible for scheduled data processes integrity checks, performing deployments and coordinate for releases.
Provide on-call support after hours as an when needed.