About
Client is seeking a Software and Data Integration Developer to develop, maintain, test, and debug software and data integration solutions across traditional and cloud-based environments. This role will support moderately complex applications, data pipelines, ETL/ELT processes, and modern cloud data platforms. Core Responsibilities
Develop, maintain, test, and debug software and data integration solutions. Build and support applications, data pipelines, and ETL/ELT processes across traditional and cloud-based environments. Formulate and define system scope and objectives through research and fact-finding. Prepare detailed technical specifications for programs, integrations, and data processes. Design, build, test, debug, document, and maintain scalable applications and data solutions. Support data integrity, governance, lineage, monitoring, performance tuning, and production stability. Document ETL designs, data mappings, and data architecture. Essential Qualifications, Skills, and Technologies
Experience developing software and data integration solutions. Experience with PL/SQL, Oracle,.NET, Microsoft SQL, and related technologies. Experience with Azure Data Factory and ADLS for cloud-based data pipelines and storage. Strong knowledge of Snowflake architecture, including streams, tasks, and pipeline processing. Experience with data ingestion tools such as Fivetran or HVR. Experience with data transformation using dbtLabs. Understanding of batch and near real-time data integration patterns. Ability to design and support scalable cloud data architecture. Experience with Git, CI/CD, and Azure DevOps within data engineering workflows. Experience supporting production data environments, including monitoring and performance tuning. Work Details
Contract-to-hire role. Open to Memphis, Dallas preferred, and remote as needed.
Languages
- English
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