Data Engineer
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Overview
Job Description
Overview
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.
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