Data Engineer

Role Overview

The company is looking for a Data Engineer to join their growing team in Singapore. The role involves designing, developing, and deploying data tables, views, and marts in data warehouses, operational data stores, data lakes, and data virtualization. The successful candidate will work closely with project managers, data architects, business analysts, frontend developers, designers, and data analysts to build scalable data-driven products.

What You Will Do

The Data Engineer will design, develop, and deploy data tables, views, and marts in data warehouses, operational data stores, data lakes, and data virtualization. They will also perform data extraction, cleaning, transformation, and flow, and design, build, launch, and maintain efficient and reliable large-scale batch and real-time data pipelines with data processing frameworks.

Why It Might Be a Fit

The company is looking for a candidate with experience in cloud technologies, database design, and data engineering in a big data environment. The successful candidate will be comfortable in at least one scripting language, familiar with data governance policies, access control, and security best practices, and have a passion for data engineering.

Requirements

• Proficient in database design and various databases
• Experience in cloud technologies such as GPC, GCC (i.e. AWS, Azure, Google Cloud)
• Experience and passion for data engineering in a big data environment using Cloud platforms such as GPC, GCC (i.e. AWS, Azure, Google Cloud)
• Experience with building production-grade data pipelines, ETL/ELT data integration
• Knowledge about system design, data structure, and algorithms
• Familiar with data modelling, data access, and data storage infrastructure like Data Mart, Data Lake, Data Virtualisation and Data Warehouse for efficient storage and retrieval
• Familiar with rest api and web requests/protocols in general
• Familiar with big data frameworks and tools (eg. Hadoop, Spark, Kafka,RabbitMQ)
• Familiar with W3C Document Object Model and customized web scraping (e.g. BeautifulSoup, CasperJS, PhantomJS, Selenium, Nodejs, etc)
• Familiar with data governance policies, access control, and security best practices
• Comfortable in at least one scripting language (eg. SQL,Python)
• Comfortable in both windows and linux development environments
• Interest in being the bridge between engineering and analytics

Benefits

• Competitive Compensation
• Benefits: Outpatient medical, specialist medical coverage and generous customisable flexi benefits, or flexi allowance
• Life and health insurance
• Thoughtful perks like special occasions “red packet” and CNY goodies, etc.
• Employee Wellness
• Growth & Development
• Career Progression
• Competency Framework
• Flexible Work Arrangement