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AWS, Python, Spark, Data Bricks Developer with 3 to 5 years of experience:
Must-Have:
* Advanced proficiency in Python for data processing and analytics.
* In-depth experience with Apache Spark and Databricks for big data processing.
* Extensive knowledge of AWS services (Glue, Lambda, SQS, DynamoDB) for building and orchestrating data pipelines.
* Expertise in Kafka for real-time data processing and streaming.
* Strong experience with Kubernetes, including EKS, for container orchestration and deployment.
* Solid understanding of RESTful API development and best practices.
* Proficiency in SQL for complex query development and database management.
* Experience in designing, implementing, and maintaining ETL processes in AWS environment.
* Strong architectural knowledge of cloud-native solutions and microservices architectures.
* Familiarity with additional AWS services (e.g., S3, EC2, IAM) and best practices for cloud security.
* Understanding of Agile methodologies and experience working in Agile teams.
Nice-Have:
* Experience with CI/CD pipelines and infrastructure as code (Terraform, CloudFormation).
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