QualificationBachelor’s Degree (Computer Science, Data Science, or related)
Key Responsibilities
Data Warehouse Management: Utilize specialized technical skills to deploy, query, and maintain enterprise databases and modern data systems (Snowflake, ANSI SQL, SQL Server, T-SQL).
ETL/ELT Pipeline Support: Assist with programming, structuring, and monitoring data pipeline architectures using automated integration platforms (dbt, Azure Data Factory, SSIS).
Business Intelligence Delivery: Design, build, enhance, and debug production-grade business intelligence reporting environments using Microsoft Power BI.
Requirements Engineering: Interface directly with business systems analysts and end-users to gather, analyze, map, and document structured software parameters.
Quality Assurance & Testing: Participate actively in systematic software validation workflows by creating, reviewing, and executing rigorous technical test plans and tracking scripts.
SDLC Alignment: Build software applications by adhering tightly to the standard software development lifecycle blueprint, covering everything from design and testing to cloud release and operational patching.
End-User Troubleshooting: Provide timely technical application support to internal teams, covering package installations, environment setup, and pipeline monitoring.
Skills & Eligibility
Education: Finished Bachelor’s Degree in Computer Science, Data Science, Information Technology, or an allied technical field.
Practical Exposure: Mandatory prior internship experience explicitly focused on Data Engineering or Software Engineering domains.
Data Modeling Core: Solid conceptual knowledge of developing dimensional data models along with a clear awareness of the trade-offs between Star Schema and Snowflake schema layouts.
Database Mechanics: Strong fundamental knowledge of relational architectures, specifically Microsoft SQL Server, T-SQL, and cloud analytics environments.
Communication Skillset: Excellent analytical reasoning paired with strong written and oral English communication capabilities.
Familiarity with Snowflake Cloud Data Warehouse , Fivetran data integration, and dbt transformations is highly preferred.
Familiarity with programming clean scripts in Python and handling REST APIs is a distinct advantage.
Basic knowledge of C# programming or cloud application development on Microsoft Azure is an added bonus.
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