Junior Data Engineer (Data Steward) (удаленная работа)
(вакансия в архиве)

2 октября 2023

Уровень зарплаты:
от 85 000 до 85 000 руб.
Требуемый опыт работы:
Не указан

Вакансия: Junior Data Engineer (Data Steward)

Описание вакансии

Describe your experience with pools of industrial data

Job Description: We are seeking a skilled and motivated Junior Data Engineer to join our team. As a Junior Data Engineer, you will be responsible for data pipelines and ETL processes, ensuring data accuracy and consistency. Your role will involve working with big industrial data time series, implementing data stewardship practices, and maintaining data infrastructure for optimal performance.

Responsibilities:

  • Design, build, and optimize data pipelines and ETL processes to extract, transform, and load data from various sources.
  • Process and analyze big industrial data time series, applying appropriate techniques for data filtering and processing.
  • Implement data quality and governance processes to ensure data quality.
  • Conduct regular data updates, maintenance, and monitoring.
  • Ensure data availability by maintaining data infrastructure.
  • Collaborate with cross-functional teams to understand data requirements and implement effective solutions.
  • Identify data sources, acquire and integrate data into the data ecosystem.
  • Utilize Python for data processing and scripting tasks.
  • Stay updated with emerging technologies and industry trends in data engineering and stewardship practices.
  • Document technical specifications, data flows, and system architecture.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • Proven experience in handling large-scale data engineering projects.
  • Strong proficiency in Python for data processing and scripting.
  • In-depth knowledge of designing, building, and optimizing data pipelines and ETL processes.
  • Experience with big data processing, analysis, and storage.
  • Expertise in data filtering and processing techniques for large datasets.
  • Familiarity with data stewardship principles, including data updates and maintenance.
  • Understanding of data quality and governance processes for ensuring accuracy and consistency.
  • Ability to monitor and maintain high-performance data infrastructure.
  • Proficiency in cloud-based data platforms (e.g., AWS, Azure, GCP).
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.
  • Good command of the English language.

*You can work remotely from any city.