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Data engineer

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вакансия зп не указана
в среднем 204 840 ₽
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Рекламный баннер: ОБЩЕСТВО С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ "ЦЕНТР НАЦИОНАЛЬНЫХ ИНТЕЛЛЕКТУАЛЬНЫХ СИСТЕМ"
О рекламодателе
ОБЩЕСТВО С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ "ЦЕНТР НАЦИОНАЛЬНЫХ ИНТЕЛЛЕКТУАЛЬНЫХ СИСТЕМ"
ИНН: 9704271170

описание

Inetum Polska is part of the global Inetum Group and plays a key role in driving the digital transformation of businesses and public institutions. Operating in cities such as Warsaw, Poznan, Katowice, Lublin, Rzeszow the company offers a wide range of IT services. Inetum Polska actively supports employee development by fully funding training, certifications, and participation in technology conferences.

задачи

  • Building and maintaining processes for collecting data from various sources into the Data Lake.
  • Designing, developing, and optimizing complex data pipelines to ensure reliable data flow.
  • Creating, developing, and maintaining frameworks that facilitate the construction of data pipelines.
  • Implementing comprehensive testing frameworks for data pipelines.
  • Collaborating with analysts and data scientists to ensure the delivery of high-quality data.
  • Ensuring robust data management, security, and compliance practices.
  • Researching and implementing new technologies to improve data pipeline performance.
  • Leveraging and integrating data from various types of source systems, including Kafka, MQ, SFTP, databases, APIs, and file shares.

требования

  • Proficiency in cloud platforms and services- GCP.
  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field.
  • Minimum 3 years of experience as a Data Analyst or Data Quality Analyst in a data-driven organization.
  • Proven experience in data quality management and data governance practices.
  • Strong database expertise, including advanced SQL and PL/SQL.
  • Proficiency in Python.
  • Experience with Linux and bash scripting.
  • Solid understanding of Cloudera Hadoop technology stack (Apache Spark, Apache Kafka).
  • Knowledge of data handling principles, including ETL processes and real-time data processing.
  • Будет плюсом: experience in Scala; Experience with CI/CD pipelines and automation tools; Strong understanding of data governance principles, including metadata management and data quality frameworks; Ability to work with and understand various source system types (Kafka, MQ, SFTP, databases, APIs, file shares)

условия

  • Flexible working hours.
  • Hybrid work model, allowing employees to divide their time between home and modern offices in key Polish cities.
  • A cafeteria system that allows employees to personalize benefits by choosing from a variety of options.
  • Generous referral bonuses, offering up to PLN6,000 for referring specialists.
  • Dedicated team-building budget for online and on-site team events.
  • Opportunities to participate in charitable initiatives and local sports programs.
  • A supportive and inclusive work culture with an emphasis on diversity and mutual respect.
  • Hybrid work- 3 times a week from the office in Warsaw.

Международная IT-компания цифровых услуг.

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