Senior Analytics Engineer
Remote Technology
- Hanoi
- US$42,750 per year
- Permanent
- Full-time
- 3+ years of experience in analytics engineering; high-growth tech company experience is a plus
- Strong experience using data transformation frameworks (e.g. dbt) and data warehouses (e.g. Redshift), strong proficiency in SQL
- Strong knowledge in data modelling techniques (Kimball, Data Vault, etc)
- Solid Experience with data visualization tools (e.g. Metabase)
- Strong affinity towards well crafted software - testing, knowledge of best practices, experience with CI/CD (e.g. Gitlab, Github, Jenkins)
- A self-starter mentality and the ability to thrive in an unstructured and fast-paced environment
- Proven collaboration and communication skills
- Experience in dealing with ambiguity, working together with stakeholders on taking abstract concepts and turning them into data models that can answer a variety of questions
- Writes and speaks fluent English
- It's not required to have experience working remotely, but considered a plus
- DBT Modelling:
- Design, develop, and maintain dbt (Data Build Tool) models for data transformation and analysis, providing clean and reliable data to end users enabling them to get accurate and consistent answers by self-serving on BI tools.
- Collaborate with Data Analysts and Business Stakeholders to understand their reporting and analysis needs and translate them into DBT models.
- Own our internal dbt conventions and best practices, keeping our code-base clean and efficient (including code reviews for peers).
- Data Analytics & Monitoring:
- Ensure data quality and consistency by implementing data testing, validation and cleansing techniques.
- Implement monitoring solutions to track the health and performance of the data present in our warehouse.
- Train business users on how to use data visualisation tools.
- Drive our Culture of Documentation:
- Create and maintain data documentation & definitions, including data dictionaries and process flows.
- Collaborate with cross-functional teams, including Data Analysts, Business stakeholders, to understand their data requirements and deliver effective data solutions.
- Share knowledge and provide guidance to peers, creating an environment that empowers collective growth.
- You'll report to: Engineering Manager - Data
- Team: Data Engineering
- Location: Anywhere in the World, but we will prioritise candidates from APAC countries to ensure the diversity
- Start date: As soon as possible
- Interview with recruiter
- Interview with future manager
- (async) Small challenge
- (async) Challenge Review
- Interview with team members (no managers present)
- (async) Offer