Senior Data Engineer
Required experience: more than 6 years
Full-time, full day
Responsibilities include:
  • Participate in the development and implementation of the company's Unified Data Space architecture;
  • Ensure data availability within regulatory deadlines;
  • Ensure data quality, develop and implement data quality control processes;
  • Participate in creating a data integration environment and pipelines using tools that provide federated access and merge data from different sources;
  • Participate in the development, maintenance, and optimization of ETL/ELT processes;
  • Ensure the development and maintenance of data marts for analysts/data science;
  • Optimize data architecture and structure;
  • Ensure the accuracy of documentation on ETL/ELT processes, entities, and DWH objects.
Required qualifications include:
  • Experience in independent development of ELT processes in PL/SQL and industrial ETL/ELT systems (Oracle Data Integrator, Informatica, Talend);
  • Expertise in SQL;
  • Experience in implementing and operating distributed data storage and processing systems;
  • Knowledge and experience in implementing Star, Snowflake, Data Vault data models;
  • Knowledge of Python, Java, and/or Scala;
  • Experience with Hadoop, Spark, Hive, Impala technology stack;
Perks and Benefits include:
  • Hybrid or remote work format and flexible start of the working day;
  • 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 care and medication, with the possibility of adding two close relatives for free;
  • Fitness subscriptions with discounts and installment payments;
  • Monetary compensation for using a personal laptop;
  • Online platform for free psychological assistance;
  • Access to the corporate online library MyBook.
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