Workato5 дней назад
Analytics Engineer
Зарплата не указана
РЫНОК
17 500 ₽медиана по профессии
Tech Lead / Team Lead · 19 вакансий с указанной зарплатой
5 250половина предложений: 14 716–20 9171,2 млн
Работодатель не указал зарплату — сравните с рынком сами.
Singapore
Обязанности
- 01Design, develop, and own scalable and maintainable data models using dbt (Data Build Tool)
- 02Enforce and evolve internal dbt conventions and best practices, optimizing the codebase for cleanliness, performance, and cost-efficiency
- 03Own and enforce data quality and consistency by implementing robust testing, validation, and cleaning processes on mission-critical source tables
- 04Implement and manage data monitoring and alerting solutions to ensure data flows and transformations are performing optimally and accurately
- 05Create and maintain comprehensive data documentation and definitions (data dictionaries, process flows) to ensure data literacy, trust, and discoverability
- 06Partner with data engineers, product analysts, GTM data teams, and other stakeholders to strategically align data insights with product improvements and business objectives
- 07Communicate complex data architecture, patterns, and analytical conclusions effectively to both technical and non-technical audiences
- 08Act as a data champion, evangelizing and guiding business users on the most efficient and reliable ways to leverage our data products
- 09Lead the research and evaluation of new tools and technologies, like GenAI, for enhancing data engineering, orchestration, and analysis workflows
- 10Develop and test high-impact prototypes that demonstrate the potential of emerging technologies (e.g., GenAI) to augment and improve our product usage datasets and data platform capabilities
Требования
- 012+ years of experience in an Analytics Engineering or Data Warehousing role
- 02Expert proficiency in SQL, including advanced techniques like window functions and proven ability in query performance optimization
- 03Demonstrated expertise in dbt (Data Build Tool) for designing, developing, and maintaining complex data models
- 04Strong functional knowledge of a modern cloud data warehouse (e.g., Snowflake, BigQuery)
- 05Proven ability to apply data engineering best practices, including version control (Git/GitHub), modular coding, and automated testing
- 06Strong understanding of data modeling principles (e.g., star/snowflake schemas, Slowly Changing Dimensions)
- 07Proficiency in Python or another scripting language is required
- 08Experience with data orchestration tools (e.g., Airflow, Dagster) for building and managing data workflows
- 09Resourceful, results-oriented, and autonomous, with a proven track record of owning the full lifecycle of analytical projects
- 10Excellent verbal and written communication and stakeholder management skills
Условия
- 01Vibrant and dynamic work environment
- 02Multitude of benefits they can enjoy inside and outside of their work lives
- 03Flexible, trust-oriented culture
- 04Focus on balancing productivity with self-care