✅ Your responsibilities:

Design, build, and own scalable, production-grade data pipelines and architectures from scratch
Develop and optimize ELT processes in Snowflake, integrating data from multiple sources (APIs, databases, external providers)
Model and maintain well-structured, performant data warehouse solutions in Snowflake
Ensure data quality, reliability, and robustness (e.g. handling failures, deduplication, late-arriving data)
Collaborate with analysts and stakeholders to translate unclear business problems into scalable data solutions
Continuously optimize performance and cost (query tuning, warehouse sizing, clustering)
Build and maintain data services / APIs enabling reliable data access across systems
Take ownership of solutions in production, including monitoring, debugging, and improvements
Evaluate and introduce tools (especially within dbt + Snowflake ecosystem) to improve the platform

🧠 Our requirements:

Proven experience as a Senior Data Engineer
Strong hands-on experience with Snowflake (performance tuning, query profiling, optimization)
Solid experience with dbt
Very strong SQL skills
Good programming skills in Python
Experience building and maintaining scalable ELT pipelines
Experience with large-scale data processing (e.g. Apache Spark)
Experience with cloud platforms (AWS preferred)
Strong understanding of data modeling (especially for analytics / warehouse use cases)
Ability to design solutions independently and work with ambiguous requirements
Understanding of trade-offs, scalability, and system reliability

🌟 What we offer:

Senior Data Engineer (Snowflake)

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