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Big Data Engineer Jobs in Poland

EPAM Anywhere is looking for Big Data Engineers in Poland.

compensation

Competitive compensation

We back all payments and operate in compliance with country-specific labor regulations. Your annual paycheck can range from $15k to $200k.

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Numerous benefits

Make use of 1,500+ online and location-specific benefits across 30+ countries that also include healthcare and sports programs for you and your family.

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Limitless career growth opportunities

Get access to a large-scale ecosystem that consists of educational and career development services created for your growth. A personal skill advisor will support you on each step of this journey.

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Data Software Engineering

Amazon Web Services, Apache Airflow, Apache Spark

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40 hrs/week

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12+ months

location
Poland
Poland
We are looking for a remote Senior Big Data Engineer with Databricks expertise to join our team.
skill

Data Software Engineering

Databricks, Python, Microsoft Azure

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40 hrs/week

calendar

12+ months

location
Poland
Poland
Join our remote team as a Senior Data Software Engineer.
skill

Data Software Engineering

Amazon Web Services, Apache Airflow, Apache Spark

clock

40 hrs/week

calendar

12+ months

location
Poland
Poland
We are looking for a Senior Data Engineer to join our team and work on data integration, modeling, and data pipelines.
skill

Data Software Engineering

Amazon Web Services, Databricks, Python

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40 hrs/week

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12+ months

location
Poland
Poland
We are seeking a talented remote Senior Data Engineer with strong experience in Data Software Engineering.
skill

Data Software Engineering

Databricks, Python, PySpark

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40 hrs/week

calendar

12+ months

location
Poland
Poland
We are seeking a remote Senior Data Software Engineer with experience in PySpark, Azure Data Factory, and advanced SQL for the project.
skill

Data Software Engineering

Python.Core, Pandas, Databricks

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40 hrs/week

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12+ months

location
Poland
Poland
We are seeking a highly skilled Senior Data Software Engineer to join our remote team for a government project aimed at boosting the capacities of administrative service centers to deliver accessible and inclusive assistance.
skill

Data Software Engineering

Databricks, Python, PySpark

clock

40 hrs/week

calendar

12+ months

location
Poland
Poland
Join our remote team as a Senior Data Software Engineer.
skill

Data Software Engineering

CI/CD, Amazon Web Services, Python

clock

40 hrs/week

calendar

12+ months

location
Poland
Poland
We are searching for a highly skilled and experienced Senior Data Engineer to join our team.
skill

Data Software Engineering

Python, PySpark, Databricks

clock

40 hrs/week

calendar

12+ months

location
Poland
Poland
We are seeking a highly skilled Senior Data Software Engineer to join our team, working with one of the biggest sportswear brands in the world.
skill

Data Software Engineering

Databricks, Python, PySpark

clock

40 hrs/week

calendar

12+ months

location
Poland
Poland
Join our remote team as a Senior Data Software Engineer.

Big Data engineer jobs in Poland at EPAM Anywhere

A Big Data engineer is a specialist who develops technologies for working with Big Data. This may be the development of a whole software or individual elements within it. The main task of a specialist is to make each product scalable and ready for further improvements.

A Big Data engineer is responsible for creating functional, productive, and technological solutions that meet the business goals and stated requirements of the company or customer. They develop products for working with Big Data from scratch; that is, they are engaged in their planning, development, commissioning, and further support. The Big Data engineer specialty is great for working from home, as long as you have the appropriate qualities for it.

Responsibilities of a remote Big Data engineer in Poland

Each company has its own list of duties for Big Data engineer remote jobs, but most often, work from home duties include:

  1. Conducting requirements analysis
  2. Future product planning
  3. Software development for Big Data
  4. Testing at different stages of software development
  5. Detection and elimination of errors
  6. Records management
  7. Report writing
  8. Finished product support
  9. Introduction of elements that increase the functionality of the software
  10. Software scaling
  11. Implementation of updates

Like all specialties in the IT field, Big Data engineers in Poland have several levels of professionalism on which the list of responsibilities and requirements for the remote job will depend. For beginners, the requirements are minimal, but not all companies are ready to hire them online. Middles will face a long list of required skills like those above. Seniors will also need to manage a team of subordinates.

Requirements of Big Data engineer remote jobs

Big Data engineer remote jobs in Poland typically have the following requirements:

  1. Bachelor's or master's degree in computer technology or engineering
  2. Deep knowledge of databases for working with Big Data
  3. 2+ years of experience in a similar position
  4. Experience in remote work
  5. Knowledge of several databases
  6. API experience
  7. Superficial knowledge of Java
  8. Ability to work with tests
  9. Knowledge of new trends in Big Data
  10. Information analysis skills
  11. Ability to work with reports and documentation

Even if you are looking for a remote Big Data engineer job, you will have to constantly interact with both your team and the employees of other departments.

Big Data engineer remote jobs in Poland

Companies pay attention not only to the technical skills of candidates but also to their personal qualities. For example, it is important for them to know how much a specialist is ready to commit to work. A remote worker must be able to properly manage their time. In addition, the following qualities will put you at an advantage for remote work: stress resistance, attention to detail, the desire to constantly improve your knowledge, the ability to find inaccuracies in a timely manner, and the ability to simultaneously manage several projects at once.