Posted:1 day ago|
Platform:
Work from Office
Full Time
Role: Sr. Technical Engineer (DevOps+ Big Data) Experience : 7+ Years Location: Bangalore Shift : 10AM to 7PM Key Responsibilities: DevOps and CI/CD: Design, implement, and manage CI/CD pipelines using tools like Jenkins and GitOps to automate and streamline the software development lifecycle. Containerization and Orchestration: Deploy and manage containerized applications using Kubernetes and OpenShift, ensuring high availability and scalability. Infrastructure Management: Develop and maintain infrastructure as code (IaC) using tools like Terraform or Ansible. Big Data Solutions: Architect and implement big data solutions using technologies such as Hadoop, Spark, and Kafka. Distributed Systems: Design and manage distributed data architectures to ensure efficient data processing and storage. Collaboration: Work closely with development, operations, and data teams to understand requirements and deliver robust solutions. Monitoring and Optimization: Implement monitoring solutions and optimize system performance, reliability, and scalability. Security and Compliance: Ensure infrastructure and data solutions adhere to security best practices and regulatory requirements. Qualifications: Education: Bachelors or Masters degree in Computer Science, Engineering, or a related field. Experience: Minimum of 5 years of experience in big data engineering or a related role. Technical Skills: Proficiency in CI/CD tools such as Jenkins and GitOps. Strong experience with containerization and orchestration tools like Kubernetes and OpenShift. Knowledge of big data technologies such as Hadoop, Spark, ETLs. Proficiency in scripting languages such as Python, Bash, or Groovy. Familiarity with infrastructure as code (IaC) tools like Terraform or Ansible. Soft Skills: Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Ability to work in a fast-paced, dynamic environment. Preferred Qualifications: Certifications in DevOps, cloud platforms, or big data technologies. Experience with monitoring and logging tools such as Prometheus, Grafana, or ELK Stack. Knowledge of security best practices in DevOps and data engineering. Familiarity with agile methodologies and continuous integration/continuous deployment (CI/CD) practices.
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