Senior Analytics Engineer Data Platform (Snowflake + DBT)
Job Summary
As a Senior Analytics Engineer youll be at the core of our client who are an online marketplaces modern Data Platform: shaping how raw data becomes reliable analytics-ready information that powers decision-making across the company. Youll design build and maintain scalable dbt models in Snowflake ensuring data remains accurate consistent and well-documented.
Tasks
What youll do
- Develop and maintain dbt models that transform raw data into clean trusted and analytics-ready datasets in Snowflake.
- Define and evolve data contracts metrics and semantic models across key business domains.
- Collaborate with analysts data scientists and business stakeholders to deliver reliable and consistent data for insights and reporting.
- Apply best practices in testing documentation and version control to ensure data quality and reproducibility.
- Contribute to the architecture and evolution of the new data platform (bronze/silver/gold layers CI/CD pipelines data governance and monitoring).
Requirements
- In depth production experience in analytics engineering data modeling or advanced analytics.
- Strong SQL and dbt skills including modeling testing and macro development.
- Hands-on experience with Snowflake or another modern cloud data warehouse.
- Solid understanding of data modeling principles ELT workflows and tools in the modern data stack.
- Excellent communication and collaboration skills able to partner effectively with product data and business teams.
Join a fast-scaling tech platform revolutionizing marketplaces at scale. Work with elite engineering teams on mission-critical AI data and optimization challenges.
Extremely competitive comp equity. Bucharest or Belgrade offices.
Apply to build the future of intelligent platforms.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
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