in Python programming, data intelligence, and business intelligence to develop innovative IT solutions responsibilities include building data pipelines, supporting business intelligence processes, and collaborating with focusing on data pipelines (ETL, SQL). Support business intelligence efforts with tools like Qlikview Azure to create and maintain cloud-based solutions. Manage projects, processes, and stakeholder communication Required Skills: Expertise in Data Intelligence and Business Intelligence. Proficiency in Python programming
ensuring operational excellence, and implementing new business requirements using advanced technologies. Key Key Responsibilities: - Full DevOps and request management - 24/7 standby support for production systems monitoring and maintenance - Incident and request management - Operating Unix-based systems and executing communication skills - Ability to understand and translate business needs into technical solutions - Effective communication High ethical standards and flexibility in task management Advantageous Skills: - Experience with development
an AWS Data Engineer (Expert) You'll design and manage cutting-edge Big Data pipelines, ensuring secure pipelines using AWS technologies. Implement and manage Big Data solutions. Collaborate within Agile teams DynamoDB. Preferred Qualifications: Relevant IT/Business/Engineering degree. AWS and Terraform certifications
interfaces. You'll work with cutting-edge technologies, manage AWS services, and ensure smooth CI/CD processes techniques for seamless system operations. AWS Management: Work with AWS services like ECS, DynamoDB, and and CloudWatch. CI/CD: Implement and manage CI/CD pipelines using Git, GitHub Actions, Nexus, and SonarQube Technical Leadership: Oversee technical operations, manage technical debt, plan technical deliveries, and