Senior Data Engineer

3 hours ago

Taguig, National Capital Region, Philippines SPi Global (now Straive) Full time ₱60,000 - ₱120,000 per year

Senior Data Engineer

Job Location: BGC, Mnl

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

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