Technical Data Analyst

We are looking for a technically strong SQL developer with a deep expertise in advanced SQL and experience working with cloud SQL ecosystems. This role focuses on development and maintenance of complex ETL/ELT procedures in a cloud SQL ecosystem, reliable datasets, and S2S data transfer pipelines within our cloud data ecosystem (AWS/GCS). We work in hybrid model, 2-3 days in the office. Role Description Write advanced SQL queries to transform and stream large datasets in BigQuery cloud ecosystem Work with system and data streaming applications to ensure accurate data integration pipelines Troubleshoot data issues and ensure data accuracy, consistency and reliability Optimize queries and data processes while maintaining integrity, flexibility and cost efficiency Contribute to improving data workflows, automation and pipelines Develop and optimize robust processes of data streaming, transformations and structures Qualifications At least 3 years as a Data Analyst or a similar role Hands-on advanced SQL, including complex transformations, ETL/ELT processes, automations and optimizations Experience with BigQuery, Snowflake or similar cloud ecosystems Understanding of data structures, system infrastructures and integration protocols Familiarity with Git & CI/CD - preferred Experience with Pub/Sub, Google Functions and/or AWS Lambda - preferred Nice to have: Up to 2 years of hands-on experience as a Data Engineer Familiarity with BI tools (Looker, Power BI) Bash/Python/Pandas/NumPy Personal skills: Attention to details & communication skills Team player and open-minded creative attitude Strong analytical and problem-solving skills Proactive and curious state of mind