Java Spark Scala Developer
Java Spark Scala Developer
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Job Description
Hands-on Development Experience: All candidates must have practical hands-on experience in development.
Coding Evaluation: Both client and internal discussions will involve live coding assessments. Please ensure candidates are fully prepared and willing to participate in coding evaluations. If a candidate is not ready for this do not proceed with their submission.
Hybrid Work Model: This role requires a hybrid work arrangement with 4 mandatory days in the office each week.
Candidate Availability: When uploading profiles to Beeline please include the candidates availabilities for at least 5 days ahead and preferred time slots for interviews.
Spark Scala Java Springboot Kubernetes AWS Airflow Kafka
Must Have:
Strong background in problem solving OOP data structures and algorithms.
10 years backend application development experience in Java Microservices and Spring/Spring Boot
5 years in developing and optimizing Big Data applications using Java/Scala and Spark on Cloudera/HDP.
Experience in developing/designing micro-service architecture.
Experience in building end to end data pipelines on AWS/Azure and/or Databricks
Proven hands-on experience in containerization Docker Kubernetes Openshift etc.
Working knowledge of Jenkins CI Git CI/CD pipelines
Ability to work with multiple stakeholders business and technical
Nice to Have
Experience in large scale on-premise to Cloud migration projects
Programming experience in Python (2 years)
Employment Type
Full-time
