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Вакансия «Data Engineer Tech Lead»

от 4 700 USD
Беларусь, Минск,
21 января 2021
Вакансия Data Engineer Tech Lead

An American digital agency (powered by Google Marketing platform) from Colorado is looking for a Data Engineer Tech Lead in Minsk team.


  • Lead, coach, and build a team of high performing Data Engineers focused on the delivery of complex cloud-based (mostly in Google Cloud Platform) marketing solutions:

scalable, highly performing cloud-based solutions for integrating a variety of raw data sources, serving as a solid foundation for data loading and transformation problems;

batch & real-time data integration solutions, ETL processes, automated workflows that ingest data from both internal databases and external sources to manipulate, map, and feed them into staging and dimensional model layers;

conceptual, logical, and physical data models, i.e., database architectures and views addressing particular needs of analytics and data science;

  • Design, implement and maintain efficient data engineering delivery process
  • Develop an overarching data governance framework to successfully manage large amounts of data, ensuring compliance with regulations while maintaining data integrity and accessibility
  • Implement industry’s best practices for collecting, transforming, and accessing data. Deliver data integration and synchronization solutions that ensure robust data structures and uncover meaningful insights.
  • Be in constant communication with data science team members and other relevant parties and efficiently and clearly convey results. Communicate with internal and external stakeholders and manage their expectations. Develop expertise and share it with the team members to help grow the team.


  • 5+ years experience managing high volume cloud (GCP preferred, but AWS/Azure acceptable) data environments
  • Evidence of Data Engineering thought leadership
  • Expertise in data warehousing, dimensional modeling, and data architecture
  • Extensive experience with SQL, ETL, ELT, and data transformation techniques and patterns
  • Working experience with OLAP, Dimensional Modeling, Transactional data, normalization
  • Familiarity with bash scripting, workflow automation, Python (preferred) or Java
  • Experience with Agile methodologies
  • Graduate degree in computer science, engineering, or related field
  • Fluency in English and comfort with the client-consultant setting, strong communication and interpersonal skills.


  • WORK SCHEDULE: 12:00 pm - 8:00 pm (Mon - Fri). Short Summer Fridays (14.00 - 18.00).
  • All need-based knowledge and feedback to succeed;
  • Access to cutting-edge BI technologies and solutions;
  • Opportunity to work with stakeholders of US companies (Virgin, Nestle, Gerber Life, AT&T, UNICEF, Sony, Hearst, Crocs, and others);
  • Opportunity to study and pass certification exams for Google Marketing Platform (e.g., Google Analytics IQ);
  • English lessons with native speakers;
  • Personal laptop;
  • Highly competitive salary;
  • Performance / Salary review every 6-12 months;
  • Corporate health insurance;
  • Sports compensation.


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