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Data Engineer

Прямой работодатель  Andersen ( andersenlab.com )
Warsaw, Poland
Миддл
Аналитика, Data Science, Big Data • Инженер • Data Analysis • Заказная разработка
21 февраля
Удаленная работа
Опыт работы любой
Работодатель  Andersen
Описание вакансии

The IT сompany Andersen invites an experienced Data Engineer to work on a large-scale project.
 

Location: removed

Language: English – from Intermediate and above.

Stack: Data Engineer 2+ years

Please send me a link to your Linkedin or resume!

 

The customer is the largest real estate company in Asia with a vision to simplify the real estate search process and help tenants, buyers, sellers and investors make confident real estate decisions faster. It helps more than 25 million people find their dream home every month. At any moment, property seekers can access more than 2 million homes across Southeast Asia, whether they are new buildings or favorite apartments for resale, for purchase or rent.

The project is in the field of Real Estate.

Responsibilities:

  • - Building scalable, global, complex systems to solve problems with high-quality software.
  • - Developing and implementing quality controls and standards to ensure trust in the data.
  • - Developing re-usable API Suites for consumption across Business Units.
  • - Processing Data with the most performant & efficient practices to transform data into insights.
  • - Experimenting with new technologies to improve the platform.
  • - Maintaining proper just enough documentation to ensure continuity.
  • - Working effectively with others in a team to achieve shared goals.
  • - Explaining the data from a business perspective, communicating clearly and effectively to cross-functional business partners of varying technical levels.
  • - Being willing to learn and adapt.

Must-haves:

  • - Experience as a Data Engineer for 2+ years.
  • - BA in Computer Science or IT background.
  • - Ability to write high performance and quality code in Python or Other equivalent languages like Node, Java, Go, Scala with ability to adopt.
  • - Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis.
  • - Proficient in SQL.
  • - Good understanding about different types of storages/databases and purpose of each.
  • - Self-motivated, fast learner, detail-oriented, team player with a sense of humor.
  • - Have a passion for the craft and a strong desire to grow as professional
  • - Effectively articulate technical challenges and solutions.
  • - Adept at handling ambiguous or undefined problems as well as ability to think abstractly.
  • - Level of English – from Intermediate and above.

Nice-to-have:

  • - Exposure with distributed, multi-tiered systems, algorithms, and relational / Non-relational databases.
  • - Exposure with data workflow management tools Airflow, Google DataFlow.
  • - Exposure to various SDLC frameworks such as Docker, Kubernetes, Jenkins, Vault.
  • - Exposure on various cloud-based solutions such as Google Cloud Platform, Qubole, Segment, Tableau, Workato.
  • -Good understanding on Real Time data ingestion concepts and approaches.
  • - Experience with cloud environments such as AWS and container orchestration platforms such as Kubernetes.

Reasons why this job would be interesting to you:

  • - Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc.;
  • - The opportunity to change the project and/or develop expertise in an interesting business domain;
  • - Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant;
  • - Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee;
  • - The opportunity to earn additional up to 1,700 EUR per month by participating in the company's activities;
  • - Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated;
  • - Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies);
  • - Certification compensation (AWS, PMP, etc);
  • - Referral program;
  • - English courses;
  • - Private health insurance and compensation for sports activities.

Join us!


Специализация
Аналитика, Data Science, Big DataИнженер
Отрасль и сфера применения
Data AnalysisЗаказная разработка
Уровень должности
Миддл