Kafka

As an Engineer with 5-8 years of experience, your role will involve working with competencies like Apache Beam, GCP Cloud, and Open Shift. You should have hands-on experience in Java and Kafka Streaming, with knowledge in GCP and Kubernetes being a plus. Your responsibilities will include developing and deploying data and analytics-led solutions on GCP, as well as designing highly available and scalable systems. You will be working on Data Engineering solutions using Cloud BigQuery, Cloud DataFlow, Cloud BigTable, Storage, Cloud Spanner, and Cloud IAM. It's essential to have a good understanding of Apache Kafka and proficiency in cloud-based ETL/Data Orchestration tools like Apache Beam and Cloud composer. Experience in Stack Driver logging/monitoring, Python, Apache Spark and its components (Streaming), and automation tools like Ansible and Terraform will be beneficial. Familiarity with containers such as Kubernetes, Docker, and Helm is also required. Additionally, you should have the ability to effectively communicate complex technical concepts to various audiences. Qualifications Required: - 5-8 years of experience in engineering roles - Proficiency in Java, Python, and experience with Apache Kafka - Hands-on experience with GCP services like Cloud BigQuery, Cloud DataFlow, Cloud BigTable, Cloud Spanner, and Cloud IAM - Knowledge of Apache Beam, Cloud composer, and Stack Driver logging/monitoring - Familiarity with automation tools like Ansible and Terraform - Experience with containers like Kubernetes, Docker, and Helm (Note: Company details are not provided in the JD),