Data Engineer

ICONMA LLC
Memphis, United States of America
29 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Memphis, United States of America

Tech stack

.NET
Azure
Cloud Computing
Cloud Database
Continuous Integration
Information Engineering
Data Infrastructure
Data Integration
Data Integrity
ETL
Data Systems
Software Debugging
Microsoft SQL Server
Oracle Applications
Performance Tuning
Software Engineering
PL-SQL
Data Ingestion
Azure
Snowflake
GIT
Information Technology
Real Time Data
Data Management
Data Pipelines

Job description

  • Develop, maintain, test and debug software and data integration solutions to meet generally defined requirements in both traditional and cloud-based environments utilizing software development languages, modern data platforms, and tools such as PL/SQL, Oracle, .Net, Microsoft SQL, Azure Data Factory, Snowflake, and related technologies.
  • Formulate and define system scope and objectives through research and fact-finding for the purpose of developing or modifying moderately complex information systems and data pipelines.
  • Prepare detailed specifications from which programs and data processes will be written; and to design, build, test, debug, document and maintain scalable applications and data solutions, including ETL/ELT processes, leveraging modern cloud data platforms.

Requirements

  • Experience with Azure Data Factory (ADF) and ADLS for cloud-based data pipelines and storage
  • Strong knowledge of Snowflake architecture (streams, tasks, pipeline processing)
  • Experience with data ingestion tools (Fivetran, HVR) and 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 documenting ETL designs, data mappings, and architecture
  • Focus on data integrity, governance, lineage, and production support (monitoring and performance tuning)
  • Bachelor''s degree preferred.

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