Work Location: Philippines
Work Experience: 6+ Yrs
Job Type: Full-Time
About:
As a Senior Data Engineer, you will serve as a technical leader and mentor within cross-functional project teams, taking ownership of complex data solutions and architectural decisions within your area of expertise. You will be responsible for designing and implementing high-performance data systems, including pipelines, storage solutions, and processing frameworks, while mentoring junior and middle-level colleagues and ensuring technical excellence through comprehensive code reviews and testing practices.
In this role, you will contribute to data strategy discussions, lead implementation of critical data workflows, and bridge the gap between technical execution and business objectives while maintaining strong client relationships and supporting pre-sales activities when needed.
Requirements:
- 6+ years of experience in the software development area.
- Proven expertise in Data Warehousing and Data Analytics projects, encompassing data acquisition, transformation, and data science initiatives
- Comprehensive experience with Snowflake including data modeling, performance optimization, and security implementation.
- Strong proficiency in SQL and Snowflake-specific features (time travel, zero-copy cloning, secure data sharing).
- Experience with data orchestration tools – Omni preferred; Airflow, Dagster, or Prefect also acceptable.
- Exposure with modern data file formats such as Delta Tables, Apache Iceberg, and Parquet
- Proficiency in Python, Spark, DBT, and other data transformation tools and frameworks
- Expertise in data modelling, with familiarity in conceptual, logical, and physical data models, following methodologies like Data Vault 2.0 and Dimensional Modelling
- Experience with cloud data services such as Microsoft Intelligent Data Platform, AWS Data Services, or Google Cloud Data Analytics
- Hands-on experience with cloud data platforms like Databricks and/or Snowflake; certifications
- Experience with CI/CD and MLOps pipelines to streamline development and deployment processes
- Understanding of Data Governance and Data Management concepts
- Understanding of design patterns, clean architecture, and clean coding principlea
- Familiarity with unit, integration, and E2E testing