
Senior Data Engineer
2 weeks ago
About the Company
Our client is a technology-forward organization leveraging enterprise-scale data platforms to drive smart decisions. You'll be joining a high-impact engineering team solving real business problems with advanced analytics and scalable cloud infrastructure.
About the Role
This is a mid-shift, hybrid position based in BGC, Taguig. You'll be part of a team building and optimizing cloud-native data pipelines, transforming massive datasets, and enabling seamless access to insights across the organization.
Key Responsibilities
- Design, build, and maintain scalable ETL/ELT pipelines using tools like AWS Glue
- Optimize Snowflake and cloud data warehouse performance
- Collaborate across BI, Data Science, and Engineering teams
- Support analytics solutions using Qlik and other BI tools
- Contribute to Agile delivery (Kanban, SAFe, SCRUM) and ensure CI/CD compliance
Must-Have Qualifications
- 7+ years of experience in Data Engineering or related roles
- Strong hands-on experience with Snowflake, PostgreSQL, MS SQL
- Proven experience with AWS (RDS, Fargate, etc.)
- Proficient in Python and/or Java
- Strong knowledge of ETL, data warehousing, and BI tools
- Familiarity with Agile delivery models (Kanban, SAFe, SCRUM)
Good-to-Have
- Experience with AWS Glue or other ETL orchestration tools
- BI reporting experience using Qlik
- Advanced analytics exposure (ML/AI pipelines, real-time processing)
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