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 candidate's 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)
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