Java Engineer

As an Experienced Backend Engineer at Windward, you will hold a crucial role in designing, developing, and maintaining our data platform, supporting critical data-driven decision-making processes across the organization.

You will collaborate closely with cross-functional teams, including data scientists, analysts, and software engineers, ensuring smooth data flow and optimizing our services.

• Experience with using GenAI/LLM based tools for development (e.g. Windsurf, Cursor, Copilot, etc)
• Bachelor's degree in Computer Science, Engineering, or any related field
• 4+ years of professional experience as a Backend Engineer
• Full proficiency in Java (Spring Boot) and Kafka, with a proven track record of working with micro-services architecture and streaming solutions
• Proficiency in AWS services for data storage, processing, and analytics
• Familiarity with Apache Spark
• Experience with databases designed for big data and large-scale systems (Snowflake or Cassandra, but also other similar technologies)
• Hands-on experience working with massive datasets
• Strong experience in designing and constructing ETL processes for data transformation and integration - advantage
• Demonstrated ability to challenge decisions and work independently
• Strong problem-solving skills and meticulous attention to detail

• Familiarity with Python or NodeJS

• Utilize Java, including Spring Boot, to build robust and high-performance data processing services within our data platform
• Implement real-time data streaming solutions using Kafka, ensuring timely data ingestion and availability
• Collaborate closely with cross-functional teams to comprehend data requirements, identify opportunities for data optimization, and support data-driven initiatives
• Lead the design, development, and maintenance of efficient and scalable data pipelines, facilitating data collection, processing, and transformation from diverse sources
• Leverage AWS services for data storage, processing, and analytics, adhering to security and performance best practices
• Monitor and troubleshoot service performance, proactively identifying bottlenecks and implementing optimizations
• Uphold data integrity, reliability, and availability by implementing effective ETL processes and conducting data quality checks

• Direct cooperation with the already successful, long-term, and growing project
• Truly competitive salary
• Help and support from our caring HR team