Tech Stack
Amazon RedshiftAWSAzureBigQueryCloudETLGoogle Cloud PlatformRDBMSSQL
About the role
- Support Business Intelligence using Microsoft suite (SQL, Azure, Microsoft Fabric, Power BI) to create strategic and self-service data models
- Design, build, and maintain data pipelines, data architectures, and data warehouse systems
- Implement and manage ETL/ELT processes for data ingestion from various sources
- Ensure data quality, security, and compliance; implement data governance best practices
- Continuously monitor and optimize data pipelines and infrastructure for performance and efficiency
- Use BI services to support strategic and self-service models and reports
- Follow internal standards for coding, project tracking, and documentation
- Partner with data analysts to deliver clean, accessible data
- Collaborate with product owners, data architects, and software engineers to ensure reliable data infrastructure
Requirements
- Bachelor’s degree in Computer Science, Information Technology, or related courses
- Minimum 5 years of relevant experience in Data Engineering, Data Warehousing, Database Management
- Solid understanding of data warehousing concepts and experience with data warehouse solutions (e.g., Redshift, BigQuery, Snowflake)
- Extensive experience connecting to various data sources and structures such as RDBMS, Data Lake, SQL Database, Azure, or any Cloud Infrastructure
- Hands-on experience with at least one major cloud platform (AWS, Azure, GCP)
- Proficiency with SQL, Azure, Microsoft Fabric, and Power BI
- Experience implementing and managing ETL/ELT processes
- Knowledge of data governance, data quality, security, and compliance best practices
- Strong communication and interpersonal skills; ability to work in multicultural teams
- Proactive self-starter with the ability to work independently and produce high-quality reports
- Preferred: Working experience in Azure Services and knowledge of Agile and/or Scrum methods
- Based in or able to work in Mandaluyong City, Philippines (hybrid)