Job Details

Data Analyst position (Middle+) at an outstaffing company. Remote work from Russia. Salary from 220,000 to 240,000 rubles per month. Responsibilities include data analysis, requirement gathering, data modeling, and quality assurance.

• Analysis of data sources and preparation of requirements for their integration into DWH/Data Lake • Communication with customers: collection of detailed requirements, agreement on acceptance criteria, SLA and business metrics • Creation of data mart prototypes for user reports and BI dashboards • Description of metadata in the data catalog, maintenance and updating of technical documentation in Confluence • Formation of requirements for data quality (Data Quality), design of DQ rules and automated checks • Acceptance of developed DE objects (tables, pipelines, marts) for compliance with business requirements

• Confident SQL skills (complex queries, CTE, 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) • Confident Git skills (feature-branch workflow, creating MR/PR, working with conflicts, basic code review) • Experience in independently managing tasks from requirements gathering to acceptance in an Agile team Will be a plus: • 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 data marts for BI systems (Apache Superset, Metabase, Power BI, Tableau) • Understanding of CI/CD principles in Data Engineering and working with containerization

• Employment type: TK/IP (Labor Code/Individual Entrepreneur) • Work format: Remote