Вообще все курсы Хекслета бесплатные! Но только до 15 декабря. Всё, что нужно → принять вызов

Data Quality Engineer

Местоположение и тип занятости

Санкт-ПетербургПолный рабочий деньМожно удаленно

Компания

Разработка программного обеспечения, основанная на интеллекте, воображении и настойчивости

Описание вакансии

Условия работы

HiQo Solutions is growing the team, and looking for a Data Quality Engineer.

What we expect you to have

  • 3+ years of experience in Data Engineering, Data Warehousing or Data Quality disciplines Bachelor's degree in a quantitative field, e.g. Computer Science, Math, Physics 
  • Advanced proficiency with SQL Good knowledge of Python (or any other language that candidate is able to use for data analysis: Java, Scala etc.)
  • Experience/Knowledge of libraries for data manipulation and analysis as per the language above (Pandas for Python etc.)
  • Experience with cloud service models (SaaS), cloud warehousing and ETL/ELT pipelines
  • Experience integrating and building data platform in support of BI, Analytics, Data Science, and real-time applications 

        Responsibilities

        • Assisting in root cause analysis, investigating data errors or anomalies, and assisting with the implementation of solutions to rectify;
        • Management of presentation for data quality outputs scoring and data profiling results (I.e. building Power BI dashboards for data quality checks internally);
        • Architect and implement solutions to improve data quality;
        • Map new data elements in various applications;
        • Perform audits on key data elements to ensure data integrity;
        • Monitor inbound data for new data elements to map;
        • Assist in identifying, automating, and maintaining data quality processes and standards;
        • Assist with maintenance of data mapping documentation;
        • Conduct test plans for validation of data mapping.

        We offer you

        • Competitive salary based on the results of the interview;
        • Possibility to work remotely;
        • Medical insurance;
        • Flexible schedule;
        • Language courses; 
        • Interesting projects for international customers;
        • Great opportunity to take part in cutting edge areas like mathematical data processing and IoT;
        • And above all – a friendly and committed team of colleagues!