Middle Manual QA (FMC)
Required experience: 1–3 years
Full-time, regular hours
Responsibilities include:
  • Participating in the creation of a data integration environment and pipeline (data conveyors) using tools that provide federated access and aggregate data from different sources
  • Participating in the development of ETL/ELT packages for automating data migration between accounting systems and DWH (Data Lake)
  • Preparing data for publication in marts/information panels (dashboards)/reports
  • Optimizing processes/procedures for collecting and preparing data due to continuous growth in processed data volumes
  • Participating in data preparation and collection for external consumers (scoring/verification systems)
  • Ensuring continuity of data preparation and loading process, timely error resolution, and recovery of interrupted processes;
  • Ensuring synchronization and correctness of the sequence of data loading processes in corporate data warehouses (Oracle&ClickHouse);
  • Participating in organizing testing processes (load/module) for data streams;
  • Maintaining documentation on sources and data streams up to date.
Required qualifications include:
  • Experience with industrial client-server DBMS/NoSQL (Oracle, Clickhouse, PostgreSQL, Redis, MongoDB, etc.)
  • Experience with industrial ETL/ELT tools (Power Centre Informatica / Oracle Data Integrator / Talend, etc.)
  • Advanced level experience and skills in using SQL, PL/SQL;
  • Experience in building data warehouses and multidimensional cubes (OLAP technologies);
  • Knowledge of data models: Data Vault, Star scheme, Snowflake scheme;
  • Experience with Business Intelligence platforms (Oracle BI, Power BI, QlikView, Tableau);
  • Understanding of protocols – HTTP(S), LDAP, SMTP, (S)FTP, SOAP; Architecture: REST, SOA, API; Data structure: JSON, XML, WSDL, XSD;
  • Experience with version control systems (SVN, Git); Jira / KM – Confluence.
Additional/preferred qualifications:
  • Experience with big data processing technologies: Hadoop, Spark, Kafka;
  • Experience with Apache Hive, Impala;
  • Experience in building distributed data storage and processing systems;
  • Experience with Airflow, and NiFi.
Perks and Benefits include:
  • Hybrid work format and flexible start of the workday;
  • Professional development: participation in meetups, trainings, conferences, demo days, and hackathons;
  • Additional 4 days of vacation — a total of 28 calendar days per year;
  • Annual bonus based on KPI achievement;
  • Corporate mobile communication;
  • Voluntary medical insurance with dental and medication coverage, with the option to add two close relatives for free;
  • Fitness subscriptions with discounts and installment plans;
  • Monetary compensation for using a personal laptop;
  • Online platform for free psychological assistance
  • Access to the corporate online library MyBook.
Join us!
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