Senior Data Engineer
7 days ago
**What We Can Offer**:
- Bao Viet Premium health-care insurance
- Flexible working hour
The Data Engineer is a key member of a Warehouse Execution System (WES) data team that design usable data models and build robust & dependable data pipelines where both batch & streaming process are leveraged to meet the latency requirements for the business. This position plays a vital role in building the Data Platform, Business Intelligence, and Data product capability of the WES software product.
PRIMARY RESPONSIBILITIES INCLUDE
- Evaluate business and technical domains to produce representative logical and physical data models.
- Build data models with the flexibility to change when business requirements change.
- Reconcile multiple logical source models into a single, logically consistent enterprise model.
- Develop and automate large scale, high-performance data processing systems (batch and/or streaming) to drive business growth and improve the product experience
- Develop data stores, including warehouses, data lakes, data marts, etc., to support the BI and operational research initiatives.
- Build scalable data pipelines leveraging orchestration framework - Improve data quality by researching, using & improving tools to automatically detect issues
- Define modeling standards, guidelines, best practices and approved modeling techniques.
- Employ initiative, professionalism, and self-discipline in daily interactions.
**Job Requirements**:
- Seven-plus years of relevant industry experience
- Bachelor’s and/or master’s degree, preferably in Computer Science, or equivalent education and experience - Proven capability for managing data migrations between software products and custom apps
- Experience with pipeline tools such as Nifi, Airflow
- Experience in developing, deploying and optimizing data stack (both cloud and on-prem data solution) including but not limited to dbt, Airflow, Airbyte, Spark
- Experienced with Extract-Transform-Load (ETL), Extract-Load-Transform (ELT), and Discover-Access-Distill (DAD) processes batching and streaming use cases.
- Extensive expertise in multidimensional data modeling, start schemas, snowflakes, normalized and de-normalized modes, and Kimball methodologies
- Strong negotiation and consensus building abilities
- Exceptional ability to communicate in a written, spoken, or visual manner at all personnel levels Desired qualifications:
- Demonstrated real-world execution implementing data warehouses and data lakes
- Experience in data visualization, Business intelligence and insights presentation via BI and dashboard tool such as Tableau, Power BI, Looker, Metabase, Superset is a plus - Familiarity working with open-source Linux-based technologies - Verifiable record of building an enterprise analytics capability from greenfield
- Fluent in Vietnamese and English
- Able to travel internationally on an occasional basis
**Job Locations**:
- Ha Noi
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