Data Engineer

Senior Data Engineer

Work setup: Hybrid (3x office; 2x WFH)

Schedule: Morning Shift

Office location: BGC, Taguig

Employment type: Full-time / Regular position, Direct Hiring

Responsibilities:

Design

● Analyze internally and externally sourced raw data to generate BI and advanced analytics datasets based on stakeholder requirements

● Design data pipelines to curate sourced data into the in-house data warehouse

● Develop data marts to facilitate dataset consumption from the in-house data warehouse by business and IT stakeholders

● Design data model changes in alignment with in-house data warehouse standards

● Define and plan migration execution activities to transition data from existing database solutions to the in-house data warehouse

Engineer

● Perform regular housekeeping of raw data and data stored in the in-house data warehouse

● Build and maintain data pipelines and data platforms

● Develop data solution prototypes to support evolving business needs

● Explore methods to enhance data quality and reliability

● Identify and pursue opportunities to acquire higher-quality raw data

● Develop analytical tools to support BI and advanced analytics activities Execute data migration from existing databases to the in-house data warehouse

● Promote and champion data engineering standards and best-in-class methodologies

Qualifications:

● Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related quantitative discipline from a top-tier university

● Certified in AWS Data Engineer Specialty or AWS Solutions Architect Associate

● Snowflake SnowPro Core Certification

● 7+ years of experience in data engineering or a similar role, preferably in the financial industry

● Strong understanding or hands-on experience with Enterprise Agile frameworks (e.g., Kanban, SAFe, SCRUM)

● Solid understanding of ETL, data warehousing, BI (e.g., Qlik), and advanced data analytics concepts

● Deep knowledge of cloud-enabled technologies such as AWS RDS, AWS Fargate, etc.

● Experience with databases and data warehouses including Snowflake, PostgreSQL, and MS SQL

● Strong programming skills with advanced knowledge of Java and/or Python

● Practical experience with ETL tools such as AWS Glue

● Excellent critical thinking, analytical, and problem-solving skills

● Strong communication skills with a team-oriented mindset