Senior Data Engineer - Data Mart

Shopee; Singapore; In loco; SGD 60.000 - 90.000; Tempo pieno

Descrizione del lavoro

Shopee in Singapore is looking for a data engineer to help build and optimize our Marketplace data warehouse and data pipelines. You will work on offline and real-time data processing, governance, and data applications to support analytics across the business.

You will leverage Spark, Flink, Hadoop, and SQL, and code in Java/Scala/Python. Collaborating with cross-functional teams, you will design data architectures, improve data quality, and enable data-driven decisions across Shopee's platform.

Competenze

• Bachelor degree or above in computer-related field with at least 3 years of full-time working experience.
• Familiarity with big data processing technologies such as Spark, Flink, Hadoop, HBase, Kafka, Druid, Clickhouse.
• Proficiency in Java, Scala, Python, SQL, etc.

Mansioni

• Participate in development work related to the Marketplace data warehouse, including data collection in offline and real-time data warehouses, data public layer construction, data application layer construction, and data governance.
• Participate in supporting the data application of various business modules, communicate requirements with different teams, and design data architecture to provide efficient data solutions.
• Explore and improve Marketplace's data technologies, optimize data architecture, improve data quality and productivity, including massive and real-time data processing.

Conoscenze

Java

Scala

Python

SQL

Formazione

Bachelor's degree in computer science or related field

Strumenti

Spark

Flink

Hadoop

HBase

Kafka

Druid

Clickhouse

Descrizione del lavoro

About The Team

The Marketplace Intelligence and Data team's mission is to build sustainable and efficient data and intelligence products to facilitate Shopee's business development. The team is responsible for Shopee e-commerce data warehouse construction, merchant and operation data product construction, all-link traffic data, product algorithms, including product release, control, information optimization, SPU library and its comparison business, marketing algorithms, including Merchandising, Product Selection, Recommendation Algorithm, Evaluation Algorithms, User Profiling, and in addition, basic AI capabilities, such as Machine Translation, Speech Algorithm, Image Algorithm, and Real-person Authentication.

About The Team

The Marketplace Intelligence and Data team's mission is to build sustainable and efficient data and intelligence products to facilitate Shopee's business development. The team is responsible for Shopee e-commerce data warehouse construction, merchant and operation data product construction, all-link traffic data, product algorithms, including product release, control, information optimization, SPU library and its comparison business, marketing algorithms, including Merchandising, Product Selection, Recommendation Algorithm, Evaluation Algorithms, User Profiling, and in addition, basic AI capabilities, such as Machine Translation, Speech Algorithm, Image Algorithm, and Real-person Authentication. The data team aims to build high-quality offline and real-time data warehouses for Shopee's e-commerce business. We integrate and consolidate a variety of raw data, build consistent and common basic data models, and provide efficient data marts for different data application scenarios. We are a data solution provider, providing stable, reliable and efficient data services for each data user in the company.

Job Description

• Participate in the development work related to the Marketplace data warehouse, including data collection in offline and real-time data warehouses, data public layer construction, data application layer construction, and data governance.


• Participate in supporting the data application of various business modules, cooperate with different teams to communicate the requirement, and design data architecture to provide data users with efficient data solutions, including supporting various scenarios such as BI analysis, data products, and algorithm applications.


• Participate in the exploration and breakthrough of Marketplace's key data technologies, and be responsible for optimizing and improving the existing data architecture, improving data quality and productivity, and including massive data processing, real-time data processing, and the application of various new technologies.

Requirements

• Bachelor degree or above in computer related field with at least 3 years of full time working experience.


• Familiarity with one or more big data processing technologies such as Spark, Flink, Hadoop, HBase, Kafka, Druid, Clickhouse, etc.


• Proficiency in one or more programming languages, such as Java, Scala, Python, SQL, etc.


• Familiar with data warehouse architecture and principles, with relevant experience in big data architecture design, model design and performance tuning.


• Good thinking logic and communication skills, as well as good project management and coordination skills