The Senior Data Engineer will play a key role in designing, developing, and delivering scalable, high‑quality data solutions to support enterprise analytics, reporting, and operational data needs.
Design, develop, and maintain scalable data pipelines and transformations using dbt and Snowflake.
Develop high‑quality, high‑performance SQL.
Implement CI/CD workflows, automation, and version control using Azure DevOps.
Lead and mentor an offshore data engineering team.
Partner with business and technology stakeholders to understand requirements, communicate progress, and resolve issues.
Requirements
Experience with Snowflake, including storage, compute, and basic performance tuning.
Experience with dbt for modelling, testing, macros, and documentation.
Strong SQL skills for analytics and data transformations.
Experience using Azure DevOps – Git (nice to have).
Experience with data migration, data mapping, validation, and ETL/ELT processes.
Good to have experience with data visualisation tools such as Power BI.
Good communication, stakeholder management, and problem‑solving skills.
Tech Stack
Azure
ETL
SQL
Benefits
Exposure to transformational programs in AI & Data portfolio.
Career growth through learning platforms, certifications, and global mobility.
Inclusive culture backed by our “Inclusive Future for All” commitment.
Competitive total rewards and recognition programs.