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Senior DevOps Data Cloud Engineer: Exciting Multinational Tech Company With Huge Growth

3 months ago

London, Greater London, United Kingdom FORTE ICT Full time


Senior Data DevOpsAs a Senior Data DevOps you will be responsible for designing, implementing, and maintaining the infrastructure and deployment pipelines for our analytics solutions in the cloud.

Reporting to the Senior Data Engineering Manager, you will be part of the Data Operations Team. This position requires a strong background in cloud technologies, analytics platforms and DevOps practices.

Main duties:


Design, implement, and manage cloud infrastructure for analytics solutionsEnsure scalability, reliability, and performance of cloud-based analytics platforms solutions, with strong proactive focus on cost optimistationDevelop and maintain automated deployment pipelines for analytics applicationsImplement continuous integration and continuous delivery (CI/CD) practices.

Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to ensure seamless integration of analytics solutions.
Implement monitoring and logging solutions to proactively identify and address issues.
Optimize cloud resources for cost efficiency and performance.
Implement security best practices for analytics solutions in the cloud.
Ensure compliance with relevant data protection and privacy regulations.
Maintain comprehensive documentation for infrastructure, configurations, and processes.

Provide support to other team members, including code reviews, knowledge sharing and mentoring, while fostering a continuous learning cultureSupport the "think first" approach and design processEssential Requirements:

Essential:
Proven experience as a DevOps Engineer or similar role, with a focus on analytics solutions.
End-to-end SaaS integrationPaaS, IaC (Terraform, AWS CloudFormation)


Logging, monitoring, and alerting all aspects of the platformCloud and data security experience (encryption/tokenisation)Proficiency in AWSAutomation and scripting skills (e.g., Python, Shell scripting).Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).CI/CD pipelines and tools (e.g.


DBT, Jenkins, GitLab CI)Desirable:
Experience with analytics tools and frameworks (e.g., Apache Spark, Hadoop).SQLSagemaker, DataRobotGoogle Cloud and AzureData platform metadata driven frameworks to ingest, transform and manage data