Job Description
Responsible for designing, building, and managing robust data pipelines while ensuring seamless data integration that aligns with business needs. This role focuses on improving data processes, enhancing data quality, and enabling advanced analytics through collaboration and innovation.
KEY RESPONSIBILITIES
You will:
- Develop and manage end-to-end data pipelines and orchestrate integration workflows that support business objectives
- Drive internal process improvements by automating tasks, streamlining data flows, and optimizing infrastructure for scalability and performance
- Collaborate with data engineers, analysts, and architects to enhance data platform functionality
- Validate and cleanse data to ensure accuracy, completeness, and consistency, including establishing rules for handling anomalies and outliers
- Identify meaningful trends, patterns, and correlations within large datasets
- Recommend and implement improvements to increase data quality and reliability
- Support cross-functional projects by working closely with data analysts and architects
- Convert complex datasets and analyses into clear, impactful visualizations for stakeholder use
QUALIFICATIONS & REQUIREMENTS:
- You must possess at least a Bachelor's/College Degree in Computer Science/Information Technology, Mathematics, or equivalent.
- You must have at least 3 years of working experience as a Data Engineer.
- You must have experience with Azure cloud services (ADF, ADLS, Databricks).
- You must have an in-depth understanding of Data Lake store and Data Warehouse.
- You must have advanced knowledge of SQL and data visualization experience using any BI tool: Microsoft Power BI, Tableau, Qlik.
Work Schedule: Flexible schedule
Work Setup: Hybrid (with flexibility), Quezon City