Data Engineer (Databricks)
⚲ Warszawa, Bielany
Do uzgodnienia
Wymagania
- SQL
- Python
- Scala
Opis stanowiska
Nasze wymagania:
Thorough knowledge of Data Warehouse, Business Intelligence, Big Data, ETL/ELT supported by a minimum of 3 years of professional work experience in these areas
Minimum 1 year experience working with Databricks platform (Delta Lake, Workflows/Jobs, DLT, Unity Catalog)
Very good knowledge of SQL and Python or Scala
Very good knowledge of English (min. C1)
Analytical approach to problem solving - the ability to divide the business requirement into smaller elements (feature -> user story -> task) along with an accurate estimation of the time needed for the task
Independence, efficiency and responsibility for assigned tasks
O projekcie:
In this role, you will be part of cross-functional project teams building a modern, cloud-based data platform for global brands. Operating in an international environment, you will specialize in Business Intelligence and Big Data architecture, with a strong focus on the Databricks platform. You will work hands-on with scalable data pipelines and cloud-native data tools, translating complex business requirements into robust and future-ready data solutions.
Zakres obowiązków:
Design, build, and optimize scalable data pipelines in the Databricks platform (SQL/Python/Spark), including migration from native AWS services to Databricks
Develop and enhance existing projects to deliver actionable business insights
Building ETL/ELT pipelines of data from various sources using SQL/Python
Ensuring data areis modelled and processed according to architecture and requirements both functional and non-functional
Understanding and implementing required development guidelines, design standards, and best practices
Working cross-functionally with enterprise architects, data management teams, cloud integration architects, information security teams, and platform teams
Delivering right solution architecture, automation and technology choices
Suggesting and implementing architecture improvements
Oferujemy:
Global projects in clouds - we work with clients from all over the world based on modern cloud technologies
Certification reimbursement - we fund exams, certifications from Microsoft, AWS, Databricks, Snowflake
Time to learn - 60 paid hours per year
Flexible approach - you can choose to work from home or meet at our offices
Personalized benefits - medical care, subsidized sports packages, language tuition, new employee referral bonus (up to PLN 15,000) as well as annual and media bonus
Thorough knowledge of Data Warehouse, Business Intelligence, Big Data, ETL/ELT supported by a minimum of 3 years of professional work experience in these areas
Minimum 1 year experience working with Databricks platform (Delta Lake, Workflows/Jobs, DLT, Unity Catalog)
Very good knowledge of SQL and Python or Scala
Very good knowledge of English (min. C1)
Analytical approach to problem solving - the ability to divide the business requirement into smaller elements (feature -> user story -> task) along with an accurate estimation of the time needed for the task
Independence, efficiency and responsibility for assigned tasks
O projekcie:
In this role, you will be part of cross-functional project teams building a modern, cloud-based data platform for global brands. Operating in an international environment, you will specialize in Business Intelligence and Big Data architecture, with a strong focus on the Databricks platform. You will work hands-on with scalable data pipelines and cloud-native data tools, translating complex business requirements into robust and future-ready data solutions.
Zakres obowiązków:
Design, build, and optimize scalable data pipelines in the Databricks platform (SQL/Python/Spark), including migration from native AWS services to Databricks
Develop and enhance existing projects to deliver actionable business insights
Building ETL/ELT pipelines of data from various sources using SQL/Python
Ensuring data areis modelled and processed according to architecture and requirements both functional and non-functional
Understanding and implementing required development guidelines, design standards, and best practices
Working cross-functionally with enterprise architects, data management teams, cloud integration architects, information security teams, and platform teams
Delivering right solution architecture, automation and technology choices
Suggesting and implementing architecture improvements
Oferujemy:
Global projects in clouds - we work with clients from all over the world based on modern cloud technologies
Certification reimbursement - we fund exams, certifications from Microsoft, AWS, Databricks, Snowflake
Time to learn - 60 paid hours per year
Flexible approach - you can choose to work from home or meet at our offices
Personalized benefits - medical care, subsidized sports packages, language tuition, new employee referral bonus (up to PLN 15,000) as well as annual and media bonus
🔍 Dekoder Ogłoszenia
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Analytical approach to problem solving - the ability to divide the business requirement into smaller elements (feature -> user story -> task) along with an accurate estimation of the time needed for the task
Oczekuje się, że będziesz samodzielnie rozkładać zadania i szacować czas ich wykonania, co może oznaczać brak szczegółowego planowania ze strony firmy.
🔴
Independence, efficiency and responsibility for assigned tasks
Może oznaczać, że będziesz pracować bez nadzoru i oczekuje się, że sam będziesz rozwiązywać problemy, z potencjalnie mniejszym wsparciem.
🔴
building a modern, cloud-based data platform for global brands
Może sugerować pracę nad nowym projektem, który jest jeszcze w fazie rozwoju i może wymagać rozwiązywania nieprzewidzianych problemów technicznych.
🔴
translating complex business requirements into robust and future-ready data solutions
Oznacza, że będziesz musiał radzić sobie z niejasnymi lub zmieniającymi się wymaganiami biznesowymi i przekształcać je w działające rozwiązania techniczne.
🔴
Develop and enhance existing projects to deliver actionable business insights
Może oznaczać, że część pracy będzie polegać na utrzymaniu i poprawianiu istniejących, być może przestarzałych, systemów, a nie tylko na tworzeniu nowych.