Senior Data Engineer (Data Infrastructure & Business Insights)
New
Remote (~GMT+8), GMT+8Full-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Fluent in written and spoken English
- Experience
- 5 years of experience in data engineering, analytics engineering, or data analytics roles
- Required Skills
- PythonSQLETLGitMongoDBGoogle AnalyticsMicrosoft ExcelRESTful APIsData modelingGoogle SheetsBigQuerydbt
Requirements
- 5 years of experience in data engineering, analytics engineering, or data analytics roles in a fast-paced or startup environment
- Strong communication skills and the ability to collaborate effectively with non-technical stakeholders to translate business needs into actionable data solutions
- Strong proficiency in SQL and Excel
- Experience with BigQuery or similar cloud data warehouses
- Familiarity with MongoDB is a plus
- Experience with Python for data processing or automation (knowledge of other programming languages is a plus)
- Solid understanding of data modeling and database design principles
- Hands-on experience with data visualization and BI tools, especially Looker Studio
- Proficient git user
- BS in Mathematics, Economics, Computer Science, Information Management or Statistics
- Fluent in written and spoken English
Responsibilities
- Design, build, and maintain efficient ETL/ELT processes and reliable data pipelines in dbt and BigQuery, integrating data from a variety of sources (MongoDB, SQL, Google Sheets, Google Analytics, APIs, etc.)
- Build and maintain dashboards and visualizations in Looker Studio and other BI tools
- Ensure data quality, consistency, and accessibility across the organization, implement data quality controls
- Proactively collaborate with different stakeholders across operations, sales, finance and tech to clarify requirements and answer data-related questions
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