Description

Responsibilities:

• 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

Key Skills

Education

Any Graduate