Event-driven architecture and real-time data streaming
The candidate will play a key role in designing, building and maintaining a robust and scalable data processing platform and end to end solutions using Apache Spark, Databricks, and other related big data and distributed computing technologies
Job Summary
The candidate will play a key role in designing, building and maintaining a robust and scalable data processing platform and end to end solutions using Apache Spark, Databricks, and other related big data and distributed computing technologies.
Ensure all technical solutions exhibit higher level of efficiency, performance, security, scalability, and reliability.
In addition to salary, employees are eligible to be considered for discretionary annual performance-based awards.
Matching Summary
The candidate will play a key role in designing, building and maintaining a robust and scalable data processing platform and end to end solutions using Apache Spark, Databricks, and other related big data and distributed computing technologies.
Salary
Base: zł282,000 Annual; Bonus/Equity: Discretionary annual performance-based awards; Benefits: Gold Medical Package, Premium life insurance, private pension plan, additional holidays
Skills & Requirements
Must-have
Apache Spark and Databricks expertise
Cloud-native enterprise-scale data solutions
Event-driven architecture and real-time data streaming
Distributed system concepts
Application monitoring and observability
Batch and real-time data processing
CI/CD and DevOps experience
Nice-to-have
AI and machine learning tools
Emerging tools evaluation
Collaborative team environment
Volunteer opportunities
Well-being programs
Key Requirements
15+ years software engineering experience
10+ years large scale data processing experience
BS/MS in Computer Science or equivalent
Strong programming skills in Java, Python, Scala, SQL, UNIX