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Data Engineer
2 months ago
Data engineer
Streaming Technolgy: Apache Kafka/Spark Streaming/Flink
Language: Java/Scala/Python
Minimum 2+ years of development and design experience in Java/Scala/Python with Flink, Beam (or Spark Streaming using Real Time data and not batch data) and Kafka.
Extensive coding experience and knowledge in Event driven and streaming architecture.
Knowledge on Containerization using Docker and Kubernetes.
Good hands-on experience with design patterns and their implementation
Experience doing automated unit and integration testing.
Well versed with CI/CD principles (GitHub, Jenkins etc.), and actively involved in solving, troubleshooting issues in distributed services ecosystem
Experience working with SQL and NoSQL databases.
Familiar with Distributed services resiliency and monitoring in a production environment.
Responsible for adhering to established policies, following best practices, developing, and possessing an in-depth understanding of exploits and vulnerabilities, resolving issues by taking the appropriate corrective action.
High level knowledge of compliance and regulatory requirements of data including but not limited to encryption, anonymization, data integrity, policy control features in large scale infrastructures.
Understand data sensitivity in terms of logging, events and in memory data storage– such as no card numbers or personally identifiable data in logs.
Experience in JVM tuning for performance.
Experience in Agile methodology.
Ensure quality of technical and application architecture and design of systems across the organization.
Analytical thinking
Effectively research and benchmark technology against other best in class technologies.
Experience in Banking, Financial and Fintech experience in an enterprise environment preferred.
Able to influence multiple teams on technical considerations, increasing their productivity and effectiveness, by sharing deep knowledge and experience.
Self-motivator and self-starter, Ability to own and drive things without supervision and works collaboratively with the teams across the organization.
Have excellent soft skills and interpersonal skills to interact team members.
Strategic Thinking with Research and Development mindset.
Excellent communication skills (verbal, written, and presentation)
- Implementation of Events
- Deployment of Events
- Supporting the existing events in production/UAT
- Supporting other squads to let them create the events