What are the responsibilities and job description for the IT Software Development Specialist Sr position at Geethanjali College of Engineering and Technology?
**This position is Contract to Hire and Open to Remote**
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.
Manager's Notes:
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.
Manager's Notes:
- 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)