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.

Requirements

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

Will be a plus

Familiarity with Python or NodeJS

Responsibilities

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

What we offer

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

Key Skills

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