technologies-expected :

about-project :

How do we work?
#Agile #Scrum #Teamwork #CleanCode #CodeReview #Feedback #BestPracticies
We follow Scrum principles in our work – we work in biweekly iterations and produce production-ready functionalities at the end of each iteration – every 3 iterations we plan the next product release
We have end-to-end responsibility for the features we develop – from business requirements, through design and implementation up to running features on production
More than 75% of our work is spent on new product features
Our teams are cross-functional (7-8 persons) – they develop, test and maintain features they have built
Teams’ own domains in the solution and the corresponding system components
We value feedback and continuously seek improvements
We value software best practices and craftsmanship
Product principles:
Domain model created using domain-driven design principles
Distributed event-driven architecture / microservices
Large-scale system for large volumes of data (>100TB data), processed by Apache Spark streaming and batch jobs powered by Databricks platform

responsibilities :

Develop and maintain the leading IT solution for the energy market using Apache Spark, Databricks, Delta Lake, and Apache Kafka
Have end-to-end responsibility for the full lifecycle of features you develop
Design technical solutions for business requirements from the product roadmap
Maintain alignment with architectural principles defined on the project and organizational level
Ensure optimal performance through continuous monitoring and code optimization.
Refactor existing code and enhance system architecture to improve maintainability and scalability.
Design and evolve the test automation strategy, including technology stack and solution architecture.
Prepare reviews, participate in retrospectives, estimate user stories, and refine features ensuring their readiness for development.

requirements-expected :

Have 4+ years of Apache Spark experience and have faced various data engineering challenges in batch or streaming
Have an interest in stream processing with Apache Spark Structured Streaming on top of Apache Kafka
Have experience leading technical solution designs
Have experience with distributed systems on a cloud platform
Have experience with large-scale systems in a microservice architecture
Are familiar with Git and CI/CD practices and can design or implement the deployment process for your data pipelines
Possess a proactive approach and can-do attitude
Are excellent in English and Polish, both written and spoken
Have a higher education in computer science or a related field
Are a team player with strong communication skills

offered :