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Big Data Engineer – Data Platform

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

This company is a leading destination for short-form mobile video. Their mission is to inspire creativity and bring joy. Their global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. The company is committed to empowering its business with data through the development of robust data platforms and products.

Job Description

Big Data Engineer – Data Platform

Responsibilities

The mission of the Data Platform Singapore Business Partnering (DPSG BP) team is to empower the business with data. The goal is to build a Data Warehouse that can cater to batch and streaming data, Data Products that provide useful information to build efficient data metrics & dashboards which will be used to make smarter business decisions to support business growth.

As a data engineer in the data platform team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You’ll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem. Your work will have a direct and huge impact on the company’s core products as well as hundreds of millions of users.

What you’ll do:

  • Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, and multi-dimensional analysis)
  • Design and implement reliable, scalable, robust and extensible big data systems that support core products and business
  • Establish solid design and best engineering practice for engineers as well as non-technical people
  • Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
  • Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
  • Visualise, interpret, and report data findings and may create dynamic data reports.

Qualifications

Minimum qualifications

  • Bachelor or Masters degree in Computer Science or related technical field or equivalent practical experience
  • At least 3 years of experience in the Big Data technologies (Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc.)

Preferred qualifications

  • Experience with performing data analysis, data ingestion and data integration
  • Experience with schema design and data modeling1
  • Experience with ETL (Extraction, Transformation & Loading) and architecting data systems
  • Experience in writing, analyzing and debugging SQL queries
  • Experience in data privacy and security related projects.
  • Deep understanding of various Big Data technologies
  • Passionate and self-motivated about technologies in the Big Data area
  • Solid communication and collaboration skills

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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