We are looking for a skilled
Backend / Big Data Engineer to join a technology modernization initiative focused on building scalable data and AI-driven applications. You will work primarily with
Java, Big Data technologies, AWS, and Kubernetes, helping modernize existing data platforms and develop backend services that support large-scale analytics and AI search capabilities.
Essential functions
- Participate in design and development of Big Data analytical applications
- Design, support and continuously enhance the project code base, continuous integration pipeline, etc.
- Write complex ETL processes and frameworks for analytics and data management
- Work inside a team of industry experts on cutting-edge Big Data technologies to develop solutions for deployment at massive scale
Qualifications
- Strong proficiency in Java backend development, particularly REST services and production troubleshooting
- Experience working with Big data for Analytics or ML data in data formats like Iceberg, Lance formats using processing frameworks like Spark, Flink are required
- Experience with AWS cloud services and infrastructure
- Hands-on experience with Kubernetes
- Understanding of performance and scalability aspects of distributed systems
- Ability to design and implement robust API solutions
- Bachelor's Degree in Computer Science or similar field.
Would be a plus
- Familiarity with workflow management tools like Airflow
- Knowledge of modern data architecture like data lakes and data lakehouses
- Experience with version control systems, CI/CD practices, and testing frameworks
- Proficiency in Scala or Python (complementary to Java skills)
We offer
- Opportunity to work on cutting-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, vision, dental, etc.
- Corporate social events
- Professional development opportunities
- Well-equipped office
- Please note that all onboarding must occur in person, and you may be asked to travel to attend