Analytics Engineer

IT And Software Development Taguig City, National Capital Region

What You’ll Do

Design & build robust data pipelines to ingest, transform, and model data efficiently.
Develop and maintain a semantic layer to define consistent, reusable business metrics.
Implement SQLMesh (or dbt) for transformation workflows and data versioning.
Work with Cube (or similar) to create performant, queryable metrics for dashboards and applications.
Collaborate with stakeholders to understand reporting needs and define clear KPIs.
Optimize data models for performance, scalability, and cost efficiency.
Ensure data governance and quality by implementing testing, monitoring, and documentation.
Integrate data from multiple sources into our Redshift data warehouse.
Improve query performance and ensure real-time analytics capabilities as needed.

What We’re Looking For

3+ years of experience in Analytics Engineering, Data Engineering, or BI Engineering.
Strong SQL skills and experience with data modelling (Star/Snowflake schema).
Hands-on experience with dbt, SQLMesh, or similar transformation frameworks.
Knowledge of Cube, LookML, MetricFlow, or other semantic layer tools.
Experience working with data warehouses (BigQuery, Snowflake, Redshift, etc.).
Familiarity with ETL/ELT processes and workflow orchestration (Airflow, Dagster).
Strong understanding of data governance, testing, and version control (e.g., CI/CD for data).
Ability to work closely with business teams to define meaningful and actionable metrics.
Excellent communication skills and a passion for scalable, high-quality data systems.

Nice to Have