Вакансия Senior Data Engineer

5 вакансий
Специализация: Python
Уровень: Team Lead
Опыт: 3 года
Уровень английского: Не важно
Город: Минск
Режим работы: Полный день
Размер команды: 6—8
Размер компании: 340


  • Be a key player in the data engineering team which responsible for enabling and empowering our Business Development, Product development, and R&D by democratizing access to data;
  • Apply diverse data technologies such as Spark, Kafka, Clickhouse, and other similar tools from Big Data technology landscape to build business-critical, scalable and robust data pipelines and intuitive data products that power data discovery & analysis in a self-service manner;
  • Design an extensible, highly scalable and optimized real-time data analytics platform;
  • Own the data products critical for product innovation and recommendation engines;
  • Continually acquire new data sources to develop an increasingly rich dataset that characterizes users, content, and marketing;
  • Be comfortable outside of your comfort zone - explore new tech, make your own tool, or find a new way to address an old problem.


  • Senior experience in software engineering, deployment, and integration with data delivery systems and other components, building microservices, providing APIs for models access;
  • Proficiency in at least one high-level programming language (Java, Scala, Python or equivalent);
  • Experience in data environments, such as Data Lakes, Data Warehouses, Data Marts, Data transformation concepts and working with large data volumes;
  • Experience in building ETL pipelines to perform feature engineering on the large-scale datasets using Big Data technologies such as Spark;
  • Experience with sourcing and modeling data from application APIs.
  • Experience with building stream-processing applications using Apache Flink, Spark-Streaming, Apache Storm, Kafka Streams or others.

Would Be a Plus:

  • Experience with low-latency NoSQL datastores (such as HBase, Cassandra, MongoDB), Relational databases (such as MySQL, Postgres) and Search systems (such as ElasticSearch, Solr) is a plus;
  • Experience with running Machine Learning models in production is a plus;
  • DevOps tools (e.g. Ansible, Docker, Kubernetes);
  • Masters, Ph.D., or equivalent experience in Software Engineering, Mathematics or Computer Science.

We offer:

  • Opportunity to join one of the most progressive and fast-growing IT spheres
  • Full-time schedule
  • Modern office in a 5-minute walk from a subway station
  • Comfortable workplace
  • High salary with a KPI-based motivation system
  • Medical insurance + Gold AllSports card + 25 days of vacation + 5 SICK DAYS
  • Half-year corporate bonuses
  • Professional training, English courses
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