Vacancy: Data Analyst Grade: Senior Company: JETLY Format: remote Location: Russia Citizenship: #RU Salary range: from 230,000 to 320,000 rubles net per month Employment terms, format: Labor Contract/Individual Entrepreneur

Field of activity: telecommunications

🟡Main tasks • Development, optimization, and support of ETL/ELT processes for handling large volumes of data (100+ million records) • Design and development of the data warehouse (DWH): multidimensional models, star schema, data marts • Data pipeline orchestration: creation and support of DAG files in Apache Airflow, setting up schedules and dependencies • Data integration from heterogeneous sources: relational databases, APIs, file systems, streaming data • Monitoring and ensuring process reliability: setting up alerts (Slack/email), working with Grafana/Prometheus • Performance optimization: tuning Spark jobs, optimizing Hive queries, managing cluster resources • Interaction with analytics, development, and business teams to define requirements and transfer data to production

🟡Requirements ‼️ Experience: at least 7 years in data analytics / data engineering, of which ≥3 years with the Apache stack • Education: higher technical (Computer Science, Applied Mathematics, IT) • Apache Spark: development and optimization of scripts in Scala/Python for processing 100+ million records, understanding of Spark architecture (executors, partitions, shuffle) • Apache Airflow: creation of DAG files for task orchestration (daily HDFS dumps), setting up alerts (Slack/email), working with sensors and operators • Apache Dolphin: experience integrating with external APIs and databases via XML configurations • Hadoop/Hive: writing optimized Hive queries, configuring HDFS (partitioning, bucketing, replication, compression) • SQL: complex queries (JOIN, window functions, CTE, aggregations), performance optimization, understanding query plans • Monitoring: setting up dashboards in Grafana, integration with Prometheus, creating alerts for ETL processes • Data integration: working with heterogeneous sources (Databases, REST/SOAP API, CSV/JSON/XML files), understanding data formats and transmission protocols

✅Will be an advantage • Experience with Apache Kafka, Apache Flink for stream processing • Knowledge of Data Lake / Data Mesh design principles • Experience with cloud platforms (Yandex Cloud, SberCloud, AWS, GCP) • Skills in using Docker, Kubernetes for task containerization • Understanding of DataOps, CI/CD methodologies for data pipelines • Experience in mentoring and conducting code reviews