Job description for Data Engineer at OnPoint
Reporting to the Chief Technology Officer you will be responsible for:
● Design and implement data models, data-marts, and datasets on a Hadoop-based data warehouse and data hub
● Interface directly with business and systems subject matter experts to understand analytic needs and determine logical data model requirements
● Develop and implement ETL processes across Hadoop, BI systems, and databases
● Work closely with data architects to identify common data requirements and develop shared solutions
● Develop close collaboration with senior analysts and data owners across multiple business domains
● Maintain data modeling standards and ETL best practices
● Support data model and ETL solutions in production
In order to succeed in the role, you should ideally have:
● Have a B.A./B.S. and 3-5 years of relevant work experience; or an equivalent in education and experience
● Hands-on experience with AWS Stacks, SQL, etc.
● Possess strong analytical skills with the ability to analyze raw data, draw conclusions, and develop actionable recommendations
● Proven track record of excellence and consistently delivered the past project successfully
● Hands-on experience with AWS, Azure, GCP
● Experience with Python or Scala.
● Understanding of continuous integration and continuous deployment on AWS
● Experience with a large scale data lake or warehouse implementation on any of the public cloud (AWS, Azure, GCP)
● Strong background in preparing data for analysis and reporting: creating analytical datasets and working with others to define simple to use data models (i.e. star schema)
● Experience with analytical tools for data discovery & modeling, visualization, and analysis
WHY YOU'LL LOVE WORKING HERE
● An opportunity to learn at a company that is growing for regional scale (South East Asia)
● Working in a young, super talented and supportive team environment
● Attractive salary (Up to 2200 USD)
● Company trip, team building
● PTI Insurance
● Macbook Pro for Developer
