Senior Data Engineer

Global Fashion Group View all jobs

Ho Chi Minh City
Permanent
Full-time

1 month ago
Apply easily

Global Fashion Group (GFG) is the leading fashion and lifestyle retail destination in Asia PacificGlobal Fashion Group (GFG) is the leading fashion and lifestyle retail destination in Asia Pacific, Latin America and CIS. We connect over 10,000 global, local and own brands to a market of more than one billion consumers through four established e-commerce platforms: THE ICONIC, ZALORA, dafiti and lamoda.Through an inspiring and seamless customer experience enabled by our own technology ecosystem and operational infrastructure, we are dedicated to being the #1 fashion and lifestyle destination in our markets. With 17 offices and 10 fulfilment centres across four continents, GFG proudly employs a dynamic and diverse team with deep local knowledge and expertise. In the first half of 2019, GFG delivered over 15.8 million orders to 12 million active customersGlobal Fashion Group is the leading fashion and lifestyle destination in growth markets across LATAM, SEA and ANZ. Our three e-commerce platforms: THE ICONIC, ZALORA and Dafiti connect an assortment of international, local and own brands to millions of consumers from diverse cultures and lifestyles. Powered by our best-in-class operational infrastructure, which is fashion-specific and tailored to local market needs, our platforms provide an inspiring and seamless end-to-end customer experience. We stand for benchmark-setting customer service, delivery options, returns policies, and curation of brands.About the functionAt GFG, Technology is driven by innovation and quality is highly valued. Our data team is the driving force behind our business strategies and decisions. We are integrated into all departments to ensure all employees at THE ICONIC have access to good quality and timely data.Our Data Engineering team solves complex problems and delivers data to propel our business forward, powering the insights that are used in every decision we make. We are the engineers, the builders, the maintenance people for all our business data.Key tech you’ll play with in this role

Both AWS and GCP
BigQuery, SQL Server and Redshift
Docker & Kubernetes
Airflow, Cloud Composer and Pentaho
Cloud Dataflow/Apache Beam
High velocity streaming data, behavioural data and well as structured and unstructured data

What you will do

Develop and support our enterprise data warehouses, analytical databases and infrastructure
Work with the team to re-platform our existing data architecture to next generation tooling and data architecture
Build/Maintain our data pipelines in Python and SQL to ensure that data is delivered in a timely manner
Work closely with our Data Scientists and Data Analysts to implement new insights and statistical models
Assist in developing tools/processes to enable our business to self serve

What we are looking for

Extensive programming knowledge of Data processing within Python

DataFrames
Pandas
Dependency management within Python
Iterators, producers and consumer knowledge
Airflow DAG building
CI/CD - Bamboo Deployment / Delivery Experience
Strong SQL coding skills
Advanced Data Engineering Design Skills
Excellent communication skills
Significant experience in a similar Data Engineering role
Strong data warehousing/Data Engineering experience
Experience with data modelling and complex ETL solutions
Test and QA Experience in Data Pipelines

Ways to stand out from the crowd

GCP experience
BigQuery/Redshift
Cube/SSAS Experience
DevOps/CICD
Docker
Airflow
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