Backend Engineer
Job Details
About the Company
With operational hubs scattered across Europe, Asia, and LATAM, and its headquarters situated in San Francisco, US, the company boasts a workforce of over 1,000 adept professionals. Spanning across more than 20 countries, ALLSTARSIT offers a diverse range of skilled employees across various verticals, including AI, cybersecurity, healthcare, fintech, telecom, media, and so on.
About the Project
Our client is a pioneering Maritime AI™ company that provides a comprehensive platform for risk management and maritime domain awareness. Leveraging advanced technology and deep industry expertise, they help organizations address maritime challenges, predict future events, and drive business success.
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.
Specialization
Headquarters
Years on the market
Team size and structure
Current technology stack
Required skills:
- Bachelor's degree in Computer Science, Engineering, or a related field
- 4+ years of professional experience as a Backend Engineer
- Full proficiency in Java (Spring Boot) and Kafka, with proven experience in microservices architecture and streaming solutions
- Proficiency in AWS services for data storage, processing, and analytics
- Strong experience in designing and building ETL processes for data transformation and integration (advantage)
- Ability to challenge decisions and work independently
- Strong problem-solving skills and attention to detail
Nice to Have:
- Familiarity with Apache Spark
- Familiarity with Python or NodeJS
Scope of work:
- 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