Senior Data Engineer (Snowflake)

✅ Your responsibilities:Design, build, and own scalable, production-grade data pipelines and architectures from scratchDevelop 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 SnowflakeEnsure 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 solutionsContinuously optimize performance and cost (query tuning, warehouse sizing, clustering)Build and maintain data services / APIs enabling reliable data access across systemsTake ownership of solutions in production, including monitoring, debugging, and improvementsEvaluate and introduce tools (especially within dbt + Snowflake ecosystem) to improve the platform🧠 Our requirements:Proven experience as a Senior Data EngineerStrong hands-on experience with Snowflake (performance tuning, query profiling, optimization)Solid experience with dbt Very strong SQL skillsGood programming skills in PythonExperience building and maintaining scalable ELT pipelinesExperience 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 requirementsUnderstanding of trade-offs, scalability, and system reliability🌟 What we offer:100% remote workLong-term, stable cooperationPrivate healthcare and MultisportReal influence on technical decisions and architectureWork on production systems at scale, with real impactEnvironment where ownership and senior-level thinking are expected and valued