Vacancy: Data Analyst Grade: Middle+ Company: outstaff Format: remote Location: Russia Citizenship: #RU Salary Range: from 220,000 to 240,000 rubles net per month Employment Type, Format: Labor Contract/Individual Entrepreneur

🟡Tasks: • Analysis of data sources and preparation of requirements for their integration into DWH/Data Lake • Communication with clients: gathering detailed requirements, agreeing on acceptance criteria, SLAs, and business metrics • Creating data mart prototypes for user reports and BI dashboards • Describing metadata in the data catalog, maintaining and updating technical documentation in Confluence • Formulating data quality (Data Quality) requirements, designing DQ rules and automated checks • Acceptance of developed DE objects (tables, pipelines, marts) for compliance with business requirements

🟡Requirements: • Proficient in SQL (complex queries, CTEs, window functions, execution plan optimization) • Experience with Python and PySpark (writing scripts for data processing, working with large volumes, understanding DataFrame API) • Understanding of Hadoop ecosystem architecture (HDFS/S3, Parquet/ORC storage formats, basics of distributed computing) • Experience with Apache Airflow (creating/monitoring DAGs, configuring retries, error handling, working with operators) • Understanding of Data Vault 2.0 data modeling methodology (Hub/Link/Satellite structure, Raw/Business Vault principles, hashing, SCD) • Proficient in Git (feature-branch workflow, creating MR/PRs, handling conflicts, basic code review) • Experience in independently managing tasks from requirements gathering to acceptance in an Agile team

Will be an advantage: • Experience with DQ frameworks (Great Expectations, dbt tests, Deequ, custom SQL checks) • Familiarity with managed Big Data platforms (Yandex Data Proc, Databricks, AWS EMR, SberCloud) • Experience in designing marts for BI systems (Apache Superset, Metabase, Power BI, Tableau) • Understanding of CI/CD principles in Data Engineering and working with containerization

Please send resumes and questions to Telegram DM @Geniya_HR