Handle end-to-end data pipelines from heterogeneous input and output for analytical purposes.
Become a data architect by implementing appropriate data modeling concepts depending on data type and use cases.
Responsible for managing a single version of truth and turning data into critical information and knowledge that can be used to make sound business decisions.
Define clear and we'll-scoped requirements documents, including specs and workflows, that are easily understood by technical and non-technical audiences.
Work with data stakeholders (Product managers, product/business analysts, and product engineers) to ship data warehouse features and improve data products.
Contribute to the product strategy and execute the prioritized roadmap.
Mentoring & develop junior team members in the team
What You Will Need
Have at least 4 years experience in data environment as Data Warehouse Developer
Advanced in SQL and data warehouse concepts
Advanced in more than one programming language, especially Python or Go or Java
Have experiences working with batch / real-time data processing, data modeling concepts, and implementation
Have experiences working in GCP data environment such as GCS & BigQuery
Analytical and data-driven, you love digging into the data to understand what s happening and define & measure success on every project
Passionate about your customers and always bring questions back to what will serve them best
Good communication & interpersonal skills
Job Classification
Industry: InternetFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full time