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Middle/Senior Data Engineer in Onseo

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Onseo

Onseo

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September 7, 2024 Middle/Senior Data Engineer Kyiv, Vinnytsia, remotely We are looking for an experienced Data Engineer , which will help improve our US partner's product. For several years, this product has successfully provided customers with the ability to plan a variety of events, sports activities and leisure time with the help of a specialized technology platform. Requirements: 3+ years experience in data engineering and building < b> data storage ; Experience gathering

September 7, 2024

Middle/Senior Data Engineer

Kyiv, Vinnytsia, remotely

We are looking for an experienced Data Engineer , which will help improve our US partner's product. For several years, this product has successfully provided customers with the ability to plan a variety of events, sports activities and leisure time with the help of a specialized technology platform.

Requirements:

  • 3+ years experience in data engineering and building < b> data storage ;
  • Experience gathering large, complex data sets that meet functional / non-functional business requirements;
  • Experience in supporting the optimal architecture of the data pipeline;
  • Excellent programming skills in Python ;
  • Deep experience with SQL queries ;
  • Experience in designing and optimizing databases;
  • Practical experience with big data technologies (for example, Spark, Hadoop );
  • Experience with PySpark for processing big data;
  • Experience in analyzing, transforming and storing data in the specified formats in big data environments;
  • Understanding the basics of distributed computing;
  • Experience with AWS data services and infrastructure management;
  • Experience with AWS Lambda, Glue, RedShift, S3 ;
  • English at a level not lower than Upper Intermediate (conversation is mandatory).

Will be an advantage:

  • Experience with PowerBI;
  • Experience with Apache Airflow/MWAA , creation of workflow DAGs and scheduling jobs.

Key Responsibilities:

  • Implementation and maintenance of data warehouse;
  • Implementation of ETL pipelines for filling the warehouse with data from different warehouses/APIs with a guarantee of data consistency;
  • Implementation of tools for standardized internal and external data requests in different formats and locations;
  • Breakdown of complex tasks into achievable tasks;
  • Monitoring systems performance, ensuring that data consistency and latency meet product requirements.

We offer:

  • Friendly and highly professional team, democratic management;
  • Professional growth and training;
  • Career planning and regular performance reviews;
  • Competitive salary;
  • Medical insurance and paid sick leave;
  • Long-term employment with 24 calendar days of paid leave;
  • Sports compensation and English lessons;
  • Work on interesting projects using advanced technologies.

EN

We are looking for a Middle/Senior Data Engineer who will join the development team to help improve the product of our American client. For last years, this product has been successfully providing customers with a service for planning various events, sports and leisure activities using a specialized platform.

Requirements:

  • 3+ years of experience in  data engineering and building data warehouses;
  • Assemble large, complex data sets that meet functional / non-functional business requirements
  • Maintain optimal data pipeline architecture;
  • Proficiency in  Python programming;
  • Strong SQL querying skills;
  • Experience with database design and optimization;
  • Hands-on experience with big data technologies (e.g. Spark, Hadoop) ;
  • Experience with PySpark for big data processing;
  • Experience in parsing, transforming, and storing data in these formats within big data environments;
  • Understanding of distributed computing principles;
  • Experience with AWS data services and infrastructure management;
  • Proficiency in  AWS Lambda, Glue, RedShift, S3;
  • Upper Intermediate English level.

Will be a plus:

  • Experience with PowerBI;
  • Experience with Apache Airflow/MWAA , building workflow DAGs and scheduling jobs.

Role Responsibilities:

  • Implement and support data warehouse;
  • Implement ETL pipelines to fill the data warehouse with data from different storages/APIs with guarantee data consistency;
  • Implement tools for standardized internal and external querying of the data in various formats and places;
  • Break down complex problems into executable tasks;
  • Monitor the performance of the system, make sure the data consistency and update latency meet the product requirements.

We offer:

  • Friendly and highly professional team;
  • Democratic management;
  • Professional growth and training;
  • Career planning and regular performance reviews;
  • Competitive salary;
  • Medical issuance and paid sick days;
  • Long-term employment with 24 calendar days of paid vacation;
  • Sports compensation and English lessons;
  • Work on interesting projects using cutting-edge technologies.

Надсилаючи своє резюме, Ви тим самим даєте згоду на обробку своїх особистих персональних даних відповідно до Закону України «Про захист персональних даних» від 01.06.2010 р. № 2297-VІ з метою потенційної подальшої співпраці.

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