Data Engineer

3 weeks ago

Taguig, Philippines Focus Global Inc Full time

Overview

As a Data Engineer at Focus Global Inc., you will be responsible for creating the technology and data architecture that moves and translates data used to inform critical strategic and real-time decisions. You will work with internal partners across engineering, product, business and marketing teams to translate business needs into technical solutions – with three focus areas: centralizing data repositories, building self-serve analytics platforms, and developing automated reporting solutions.

We are an expanding team with opportunities for growth and influence. You will work directly with the engineering head of the company and help set the team’s culture and technical direction.

Our Stack:

  • Airflow
  • Docker
  • DBT
  • BigQuery
  • Metabase
Key Responsibilities
  • Manage and automate the end-to-end process of organizational data collection and reporting
  • Optimize existing pipelines and maintain all domain-related data pipelines
  • Coordinate with the team to identify new data requirements, analysis strategies and reporting solutions
  • Recommend and implement data models, data architecture, business intelligence, and data governance processes to ensure scalability and maintainability
Job Qualifications
  • B.S. degree in Computer Science or a related technical field
  • 2+ years professional experience with data modeling, building data pipelines and reports
  • Expertise with SQL; knowledge of SQL performance tuning and end-to-end process optimization
  • Proficiency in at least one programming language (e.g. Python, Java, C++, C#)
  • Understanding of schema evolution, sharding, latency, etc.
Preferred (but not required)
  • Strong experience using ETL frameworks (e.g., Airflow, Flume, Oozie) to build and deploy production-quality ETL pipelines
  • Familiarity with AWS and GCP cloud suites (e.g., AWS Redshift, Google BigQuery)
Ideal Candidate Traits
  • Entrepreneurial: independent, self-driven with growth opportunities
  • Excellent communicator: concise and efficient communication
  • Comfortable giving and receiving feedback: open to candid discussions
  • Openness to adopting new technology and tools
  • Data-driven: decisions based on quantitative figures
  • Customer-centric: focused on satisfying customers
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