Full Time Role based out of Singapore.

Viddsee is a leading video entertainment platform for short premium content. With over 1 billion views powered by data insights and a trusted community, we empower storytellers by enabling the creation of films and amplifying stories to targeted audiences.

We are looking for a Data Engineer in Viddsee.

Responsibilities:

As our Data Engineer, you will be in charged of our Data Lake/Warehouse that contains carefully curated and precalculated metrics, usually pertaining to a particular business or product domain.  

Work closely with business and product teams to assess, collect and define requirements. This includes translating business metric definitions into data speak.

Work closely with data engineers to understand data sources, nuances and lineage. Design and create conceptual, logical and physical data models, fit for analytical consumption and able to support both snapshot and historical analyses.  

Defines and maintains data architecture artifacts, documentations, design standards, best practices and lifecycle management.  

Stewards data governance of Viddsee's Data Lake/Warehouse to drive high standards of coherence, availability, consistency and usability in a secure fashion.

Experience:

Bachelor degree in Computer Science, Information Systems, Computer Engineering, or related technical field.  

4+ years of experience with data modelling, data governance, data architecture, data warehousing, or related fields.  

Working knowledge of data modelling best practices and design principles. Experience working with very large volumes of data.  

Experience with working with Presto and AWS EMR, S3, or similar big data tech stack.  

Experience with building and managing data pipelines and ETL jobs.  Analytical and independent problem solver.

Meticulous with high attention to detail.  

Strong communicator with ability to switch hats between data/technical speak and business/layperson speak.

If you are interested, please write to: hiring@viddsee.com with your brief self introduction, CV, portfolio, and contact number.