Data Engineer

Kuala Lumpur, Malaysia

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Create and maintain optimal data pipeline architecture
Assemble large, complex data sets that meet functional / non-functional business requirements
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS \xe2\x80\x98big data\xe2\x80\x99 technologies
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
Keep our data separated and secure across national boundaries through multiple data centers and AWS regions
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
Work with data and analytics experts to strive for greater functionality in our data systems

Understanding of data structures, data modeling, and software architecture for 3-5 years
Advance working SQL knowledge and experience working with relational databases and NoSQL databases Azure SQL DB, Delta tables is prefered
Ability to write robust code in Python, Spark, and SQL
Master in Docker, YAML, and Git
Experience in stream processing systems Spark Streaming, particularly Databricks
Experience in Azure Cloud Services Azure Data Factory, Azure Logic Apps, Azure Container Registry, Azure DevOps
Hands on experience in installing, configuring, operating, and monitoring CI/CD pipeline tools
Familiarity with machine learning framework and libraries
Excellent communication skills
Ability to work in a team
Outstanding analytical and problem solving skills

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