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Senior Data Engineer 

Poland

Project:

The product allows users to store everything in a single space, including regular files, data from the cloud, and web shortcuts.

Responsibilities:

  • Analyze and organize raw data 
  • Build data systems and pipelines
  • Evaluate business needs and objectives
  • Combine raw information from different sources
  • Explore ways to enhance data quality and reliability
  • Develop analytical tools and programs, and build dashboards
  • Collaborate with data scientists/planners and architects on several projects
  • Assembling large, complex sets of data that meet business requirements
  • Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes  
  • Building ETL jobs for optimal extraction, transformation and loading of data from various data sources using AWS, Airflow and SQL technologies
  • Building analytical tools to utilize the data pipeline, providing actionable insights into key infrastructure metrics and performance
  • Building ETL jobs for optimal extraction, transformation and loading of data from various data sources using AWS, Airflow and SQL technologies
  • Building analytical tools to utilize the data pipeline, providing actionable insights into key infrastructure metrics and performance

Requirements:

  • 4+ YoE experience working as a Data Engineer with technical expertise with data models, data mining, and segmentation techniques
  • experience with Python
  • Experience with SQL database design and experience working with hive/databricks or other data warehouses
  • Experience to build dashboards on Tableau/Grafana/Databricks
  • Experiences on building data pipelines in Airflow
  • Experience with analytics and statistics
  • Experience with Golang

Working Conditions and Benefits:

  • Paid vacation and sick leave (without requiring a sickness list).
  • Health insurance.
  • Official state holidays – 11 days considered public holidays.
  • Opportunities for professional growth through challenging projects and the possibility to switch roles, master new technologies, and improve skills with company support.
  • Flexible working schedule: 8 hours per day, 40 hours per week
  • Personal Career Development Plan (CDP).
  • Employee support program (Discounts, Care, Health, Legal compensation).
  • Paid external training, conferences, and professional certification aligned with the company’s business goals.
  • Internal workshops and seminars.
  • Corporate library (paper and e-books) and internal English classes.

Svitlana Bartko

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