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Data Engineer, Product Analytics

SpringCube

Full time - Associate/Junior Executive

Social Networking & Media

Singapore ( Onsite )

Published 4 weeks ago

Salary: SGD5,000 - SGD10,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your

job search. Explore the position below to find your next career move.

Company Overview

A leading technology company builds technologies that help people connect, find communities, and grow businesses. Since its inception, it has changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, the company is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with them help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Data Engineer, Product Analytics

Data Engineer, Product Analytics Responsibilities

  • Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems.
  • Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.
  • Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way.
  • Define and manage Service Level Agreements for all data sets in allocated areas of ownership.
  • Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.
  • Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
  • Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources.
  • Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts.
  • Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
  • Influence product and cross-functional teams to identify data opportunities to drive impact.
  • Mentor team members by giving/receiving actionable feedback.

Minimum Qualifications

  • Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent.
  • 4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions.
  • 4+ years of experience (or a minimum of 2+ years with a Ph.D) with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)

Preferred Qualifications

  • Master’s or Ph.D degree in a STEM field.

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
  4. No Liability: SpringCube is not liable for inaccuracies.

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SpringCube is a technology recruitment firm and tech-focused career platform. Since 2001, we’ve connected top talent with leading companies across Singapore and Southeast Asia.

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