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Roles and responsibilities

We are seeking a highly skilled professional to join the mund consulting team as a Data and Analytics Platform Developer. This role focuses on the programming, implementation, and customization of technical components within our data and analytics platform core, utilizing AWS cloud technology. The ideal candidate will possess extensive experience in developing and operating data platforms in the AWS environment, along with a strong emphasis on infrastructure automation and continuous integration/continuous deployment (CI/CD) practices.

Key Responsibilities

In this role, you will:

• Design, implement, and customize technical components for our data and analytics platform on AWS.
• Collaborate with cross-functional teams to optimize data workflows and analytics processes.
• Automate infrastructure provisioning and management using Infrastructure as Code (IaC) tools such as AWS CloudFormation, Terraform, and YAML.
• Develop and maintain CI/CD pipelines using AWS Cloud Development Kit (CDK) and GitOps tools in a data platform context.
• Utilize AWS services including Lake Formation, Glue, Glue DataBrew, EC2, S3, CloudFront, Route 53, CloudTrail, Secrets Manager, KMS, Step Functions, and Lambda to enhance platform capabilities.
• Manage Kubernetes environments and container orchestration to ensure operational excellence.

• If you meet these qualifications and are eager to contribute to an innovative team, we invite you to apply. Please submit your CV along with your expected hourly rate. The mund consulting team looks forward to reviewing your application and potentially welcoming you to our collaborative environment.

  Join us in shaping the future of data and analytics on AWS!

Desired candidate profile

Must-Have Criteria

To be considered for this position, candidates must meet the following criteria:

• Experience: At least 5 years of strong knowledge and practical experience in the development and operation of data and analytics platforms within the AWS Cloud.
• Certifications: Relevant AWS certifications are required, demonstrating expertise in AWS services and best practices.
• Infrastructure Automation: Proficiency in Infrastructure as Code (IaC) using AWS CloudFormation, AWS CloudFormation Guard, Terraform, and YAML.
• CI/CD Development: Experience in developing CI/CD pipelines with AWS CDK and GitOps tools, including knowledge of Python programming and relevant certifications (e.g., Python Programming, GitLab).
• AWS Services: Extensive hands-on experience with AWS services such as Lake Formation, Glue, Glue DataBrew, EC2, S3, CloudFront, Route 53, CloudTrail, Secrets Manager, KMS, Step Functions, and Lambda.
• Kubernetes and Containers: Strong operational experience in Kubernetes, supported by an Admin certificate, and familiarity with container engines.