Our client is an international high-end lifestyle company that owns multiple business lines including retail, property, ecommerce and learning platform with millions of customer data. This project is using cutting edge technology including AWS, Google Cloud, AI, NLP, Tableau and Power BI.
This role will provide the candidate opportunity in extensive data engineering and analysis experience with large set of customer data. If you are interested to develop you career path in Big Data/ Data Engineer domain, this is the opportunity for you:
design and develop hive data warehouse, databases, data pipelines.
Construct data flow to transform unstructured data to structured data from multiple data source (both online and offline)
Implement ETL/ELT flows via Big Data Solutions i.e Nifi, Spark, Python...etc
build a highly scalable cloud data platform
deliver advanced analytics, reporting and BI applications
Support and manage data requests from business stakeholders - can understand business change needs and assess the impact of those changes
Collaborate closely with our development and product teams in our fast-paced delivery environment
1-3 years of experience with Enterprise Data Warehouse and Business Intelligence
Experience with data warehouse, databases, data pipelines design and building
Experience with Python, SQL, Scala
Data management experience on RDBMS, (NoSQL, Hadoop, Data Streaming and Cloud Services are highly preferred)
Solid experience with at least one data visualization tool (Tableau, Qlik, PowerBI, etc.)
Experience with google analytics
Self-starter, Self-organized, Problem solver, deliver projects from scratch