Urgent Need for Database Developer in Atlanta, GA (Hybrid)

Position: Database Developer

Duration: 12 Months

Location: Atlanta, GA (Hybrid)

Required:

• 5 years of experience in Data Modelling.
• 5 years of experience Data Warehousing and Business Intelligence
• Microsoft SQL Server, T-SQL, PL/SQL
• SQL Server Integration Services
• Azure Data Factory, Azure Data Studio, Azure Analytics Studio, Auth2.0, JWT
• Python, PySpark, Spark SQL and Azure Cloud
• SQL, Procedures. Triggers, Functions

Job Description:

• In-depth knowledge and understanding of database concepts and be experienced in writing SQL and T-SQL.
• They need to support applications with24/7 availability and have experience handling large volumes of data in Oracle, SQL Server, and Azure SQL platforms.

Essential Duties and Responsibilities:

• Collaborate with internal customers, prospects, and stakeholders to understand and translate business use cases and requirements into data analysis and data mapping.
• Develop data integration routines that involve moving, cleansing, and transforming large amounts of data between multiple systems.
• Identify data sources, provide data flow diagrams, and document source-to-target mapping and processes.
• Work with the Data Architect to recommend optimal data models for data ingestion and collaborate with the BI developer for analytic reports.
• Provide technical enablement to team members developing database applications on a cloud platform.
• Lead small teams of 1-2 junior developers in data integration efforts, utilizing ETL design patterns, error handling, and configurations.
• Design, implement, and maintain database objects (tables, views, indexes, etc.) and database security.
• Utilize Azure database tools and technologies, including Azure Data Studio and Azure Analytics Studio,to develop, maintain, and optimize database applications and solutions1.
• Collaborate with data stewards, data owners, and domain experts to adopt best practices in reporting and analysis, ensuring data integrity, test design, validation, and documentation.
• Optimize batch processing through parallelization and performance tuning to maintain data warehouse performance.
• Establish processes for governing the identification, collection, and use of educational metadata to ensure accuracy and validity in business intelligence environments.
• Ensure data quality through audit controls, proactive monitoring, and data cleansing techniques.
• Troubleshoot performance and reliability issues and investigate anomalous behavior in the Azure environment.
• Perform scheduled data process integrity checks, deployments, and coordinate releases.
• Utilize source version control software like GitHub and CICD pipelines.
• Provide on-call support after hours as needed.

Requirements:

• 7 years of experience in data warehousing and business intelligence.
• 5 years in BI development leveraging Microsoft SQL Server, with expertise in T-SQL.
• 5 years in SSIS and use of stored procedures.
• 3-5 years in Azure Data Factory, SQL VMs, and ETL development.
• Experience in ingesting and aggregating data from internal and external sources to build a data lake.
• Strong understanding of data modelling (conceptual, logical, and physical model design) and experience with operational data stores, enterprise data warehouses, and data marts.
• Deep understanding of relational database design concepts and SQL programming.
• Experience in guiding and mentoring developers with less experience.
• Strong analytical, conceptual, and problem-solving abilities.
• Experience with business intelligence and data warehousing design principles and industry best practices.

Good to Have:

• 1-2 years in Azure Data Warehouse (Synapse).
• 1-2 years of experience utilizing Python, PySpark, and Spark SQL on Azure Cloud.

Qualifications:

• Bachelor's degree from an accredited college or university with coursework in computer science or management information systems and 5 years of related experience.