Data Engineer II developing ETL/ELT solutions for higher education data warehouse. Ensuring reliable institutional data for strategic decision - making by university leaders.
About the role
- Data Engineer designing and operationalising data processing systems at VOIS. Engage in BI projects leveraging cloud technologies and optimizing development with BigQuery, SQL, and Airflow.
Responsibilities
- Build and operationalise data processing systems based on low-level designs provided by the Tech Lead.
- Apply technical expertise in BigQuery, SQL, and Airflow for optimised development.
- Contribute to organisational improvements through process adoption, resource optimisation, and tool utilisation.
- Share technical expertise within guilds and collaborate to uplift quality standards.
- Ensure adherence to company policies and deliver defect-free development within agreed timelines.
Requirements
- Strong knowledge and experience in BI projects involving Cloud, Unix, and SQL.
- Proficient in SQL and Python programming.
- Minimum 1 – 2 years of relevant experience in SDLC and cloud environments.
- Holds a degree in Computer Science or related fields (B.E./B.Tech, BCA/MCA, BSc/MSc).
- Ability to work collaboratively and contribute to technical communities.
Benefits
- Opportunity to work on cutting-edge data engineering projects using cloud technologies.
- Exposure to BI and analytics solutions that drive business decisions.
- Collaborative work environment with a focus on innovation and process optimisation.
- Hybrid work model offering flexibility and work-life balance.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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