Why This Role Stands Out
This hybrid role offers exciting opportunities to develop scalable cloud data solutions using cutting-edge technologies like Snowflake and Azure Data Factory, perfect for experienced developers seeking to expand their cloud expertise and contribute to impactful projects. You'll thrive in this position if you possess a strong background in data integration, enjoy problem-solving in dynamic environments, and are eager to grow within a reputable company. Embrace this chance to advance your career and apply today!
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
4 days ago
OraclePL/SQLSQLETLSnowflakeAzure.NETGit
Job Description
Job Title: IT Software Development Specialist Sr
Duties: **This position is Contract to Hire and Open to Remote**
Education: Bachelor's degree preferred.
Job Profile Summary/Primary Purpose:
To 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; to 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; to 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.
Skills: Skills
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)
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