Sr Technology Engineer (Big Data + DevOps)

As a Senior Technology Engineer specializing in Big Data and DevOps, your role will involve a diverse set of responsibilities and qualifications. **Key Responsibilities:** - Design, implement, and manage CI/CD pipelines using tools like Jenkins and GitOps to automate and streamline the software development lifecycle. - Deploy and manage containerized applications using Kubernetes and OpenShift, ensuring high availability and scalability. - Develop and maintain infrastructure as code (IaC) using tools like Terraform or Ansible. - Architect and implement big data solutions using technologies such as Hadoop, Spark, and Kafka. - Design and manage distributed data architectures to ensure efficient data processing and storage. - Work closely with development, operations, and data teams to understand requirements and deliver robust solutions. - Implement monitoring solutions and optimize system performance, reliability, and scalability. - Ensure infrastructure and data solutions adhere to security best practices and regulatory requirements. **Qualifications:** - Bachelors or Masters degree in Computer Science, Engineering, or a related field. - 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. By excelling in these responsibilities and possessing the required qualifications, you will contribute significantly to the success of the company in the field of Big Data and DevOps.,