Database Developer

Job Summary: The ideal candidate must demonstrate 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 modeling (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 SparkSQL 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. Additional Notes: The client is allowing telecommuting for this position for the immediate future. However, candidates must reside within commuting distance from the client site as urgent on-site meetings or full-time on-site work could be required at any time. Candidates outside Atlanta willing to relocate can apply. No travel reimbursements will be made for on-site meetings. Engagement extensions are possible. Skill Required / Desired Amount of Experience Data Modelling Required 5 Years Data Warehousing and Business Intelligence Required 5 Years Microsoft SQL Server, T-SQL, PL/SQL Required 5 Years SQL Server Integration Services Required 3 Years Azure Data Factory, Azure Data Studio, Azure Analytics Studio Required 5 Years O Auth2.0, JWT Required 4 Years Python, PySpark, Spark SQL and Azure Cloud Required 5 Years SQL, Procedures. Triggers, Functions Required 5 Years