Cloud Engineer

3 weeks ago

Taguig, National Capital Region, Philippines Tenet Healthcare Full time
Position Summary

As a Cloud Engineer specializing in Data & Analytics, you will be responsible for designing, implementing, and managing scalable and secure cloud solutions on Google Cloud Platform. You will collaborate closely with cross-functional teams to understand business requirements and translate them into robust cloud architectures that support data-driven decision-making and analytics initiatives. The ideal candidate will have extensive experience in architecting cloud-based data platforms, implementing data warehousing solutions, and optimizing data pipelines for performance and reliability.

Primary duties and responsibilities
  • Architect end-to-end cloud solutions on Google Cloud Platform to support data and analytics workloads
  • Work closely with stakeholders to understand business requirements, data sources, and analytics goals
  • Design scalable, cost-effective, and resilient cloud architectures that align with business objectives and industry best practices
  • Design highly available, scalable, and secure data architectures
  • Evaluate and recommend appropriate GCP services and technologies to meet specific data processing, storage, and analysis requirements
  • Lead the implementation and configuration of GCP services
  • Develop data ingestion, transformation, and processing pipelines
  • Collaborate with data engineers and analysts
  • Implement security controls and compliance standards
  • Provide technical leadership and mentorship
  • Collaborate closely with senior leadership, business stakeholders, and other departments to align data initiatives with organizational goals
  • Foster strong relationships and effective communication across teams and functions
  • Promote a culture of data-driven decision-making and knowledge-sharing
Qualifications
  • Bachelors' degree from an accredited college/university in technology related field or equivalent combination of education, training, and experience.
  • Ability to build and optimize data sets, 'big data' data pipelines.
  • Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions
  • Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata
  • Strong SQL and relational database design/development skills
  • Development experience with cloud-based modern data warehouses such as Google Big Query or equivalent.
  • Applicants should have a demonstrated understanding and experience of relational SQL databases including Big Query or equivalent, and function/object-oriented scripting languages including Scala, Java and Python.
  • Applicants should also have an understanding of software and tools including big data tools like Kafka, Spark; workflow management tools such as Airflow.
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Analyst, Information Technology, and Quality Assurance
Industries
  • Hospitals and Health Care

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