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Big Data Engineer, Data Solutions

SpringCube

Full time - Associate/Junior Executive

Social Networking & Media

Singapore ( Onsite )

Published 1 month 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

This company is a global technology leader, specializing in short-form mobile video. They are dedicated to inspiring creativity and bringing joy to a global audience. Their platform empowers users to express themselves, discover new content, and connect with a vibrant community. The company is committed to innovation and leveraging cutting-edge technologies to enhance user experience and drive business growth.

Job Description

Big Data Engineer, Data Solutions

Responsibilities

Team Introduction

Ad Data is the cornerstone of every business decision that millions of advertisers make every day on their platform. Therefore, the team is tasked with innovating on a daily basis to create and maintain complex systems at large scale and continue expanding the capacity to better serve advertisers growing at an exponential pace.

You will share in the ownership of the technical vision and direction for advanced Ad Data products. You will be a part of a team of top-notch technical professionals developing scalable systems with a focus on sustained operational excellence. Members of this team will be challenged to innovate using cutting-edge technologies. They are looking for people who are highly motivated by aiming for the highest, moving fast, and changing the way customers use data to drive profitability.

Responsibilities

  • Work with product managers and data analysts to design data-related products.
  • Communicate with engineers, product managers, and product analysts to understand data needs.
  • Build up data expertise and own data quality for allocated areas.
  • Design, build, and launch new data ETL processes in production.
  • Support existing streaming and batch systems in production, solve on-call issues.
  • Define and manage SLA for all data sets in allocated areas.
  • Work with data infrastructure to triage infrastructure issues and drive to resolution.
  • Support daily project management, assist junior engineers in business and technical problems.

Qualifications

Minimum Qualifications

  • Bachelor’s degree in a technical field, Computer Science, or Mathematics.
  • At least 3 years of experience in the data warehouse space and experience in custom ETL design, implementation, and maintenance, and 3 years of experience with SQL statements.
  • At least 2 years of experience working with big data technologies such as Hadoop, Hive, Spark, etc.
  • At least 2 years of experience with schema design and dimensional data modeling.
  • Proficient in one of the programming languages such as Python, Java, or C++.
  • Good communication skills, including the ability to identify and communicate data-driven insights.
  • Ability to manage and communicate data warehouse plans with internal clients.

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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