Data Engineer

6 days ago

Taguig, National Capital Region, Philippines SPi Global (now Straive) Full time ₱1,200,000 - ₱3,600,000 per year

Senior Data Engineer

You will have the following responsibilities:

Design

  • Analyze relevant internally and externally sourced data (raw data) to generate BI and Advanced Analytics datasets based on your stakeholders' requirements
  • Design data pipelines to curate sourced data into the inhouse data warehouse
  • Design data marts to facilitate dataset consumption out of the inhouse data warehouse by business and IT internal stakeholders
  • Design data model changes that align with the inhouse data warehouse standards
  • Define migration execution activities to move data from existing database solutions to the inhouse data warehouse

Engineer

  • Regular housekeeping of raw data and data stored in the inhouse data warehouse
  • Build and maintenance of data pipelines and data platforms
  • Build data solution prototypes
  • Explore ways to enhance data quality and reliability
  • Identify and realize opportunities to acquire better data (raw data)
  • Develop analytical tooling to better support BI and Advanced Data Analytics activities
  • Execute data migration from existing databases to the inhouse data warehouse
  • Promote and champion data engineering standards and best-in-class methodology

You will have the following qualifications:

  • Bachelor's or master's degree in Computer Science, Information Technology, Engineering or related quantitative discipline from a top tier university.
  • Certified in AWS Data Engineer Specialty or AWS Solution Architect Associate
  • Snowflake SnowPro Core Certification
  • 7+ years of experience in data engineering or relevant working experience in a similar role, preferably in the financial industry
  • Strong understanding or practical experience of at least one common Enterprise Agile Framework e.g., Kanban, SAFe, SCRUM, etc.
  • Strong understanding of ETL, data warehouse and BI(Qlik) and Advanced Data Analytics concepts
  • Deep knowledge of cloud-enabled technologies – AWS RDS and AWS Fargate, etc.
  • Experience with databases and data warehouses - Snowflake, PostgreSQL, MS SQL
  • Strong programming skills with advanced knowledge of Java and/or Python
  • Practical experience with ETL tools such as AWS Glue, etc.
  • Strong critical-thinking, analytical and problem-solving skills
  • Excellent communicator with team-oriented approach

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