Senior Data Engineer: Product Analytics & Insights

FACEBOOK SINGAPORE PTE. LTD.; Singapore; On-site; SGD 140,000 - 210,000; Full time

Job summary

Meta in Singapore is hiring a Data Engineer to design and scale data solutions across Facebook, Instagram, and WhatsApp. You will collaborate with software engineers, data scientists, and product managers to build robust data artifacts, optimize pipelines, and shape data models for growth and user experience.

You will lead data architecture, ensure data quality and security, develop logging and governance, and mentor teammates while translating complex analytics into actionable insights for

Qualifications

• BS in CS, ECE or related technical field or equivalent.
• 7+ years of data-focused experience (data analyst/scientist/engineer).
• 7+ years with SQL, ETL, data modeling and at least one programming language.

Responsibilities

• Define data architecture for large-scale projects.
• Improve logging frameworks and data quality.
• Collaborate with engineers, PMs, and data scientists to translate data needs into insights.
• Define and manage SLAs for data sets in ownership.
• Determine and implement security model; ensure governance and data quality.
• Design, build and launch data models and visualizations for multiple use cases.
• Solve complex data integration problems using ETL patterns and querying techniques.
• Assist in owning production processes and optimize code with advanced algorithms.
• Optimize pipelines, dashboards and systems to ease data artifact development.
• Influence cross-functional teams to identify data opportunities and impact.
• Mentor team members with actionable feedback.

Skills

SQL

ETL

Data modeling

Python

Education

Bachelor's degree in Computer Science or related field

Job description

Meta in Singapore is hiring a Data Engineer to design and scale data solutions across Facebook, Instagram, and WhatsApp. You will collaborate with software engineers, data scientists, and product managers to build robust data artifacts, optimize pipelines, and shape data models for growth and user experience.

You will lead data architecture, ensure data quality and security, develop logging and governance, and mentor teammates while translating complex analytics into actionable insights for