Associate Cloud Engineer

Tenet Healthcare; Taguig; On-site; PHP 1,400,000 - 2,200,000; Full time

Job summary

Tenet Healthcare seeks a Cloud Engineer specializing in Data & Analytics to design, implement, and manage scalable GCP solutions for data workloads.

You will architect data platforms, pipelines, and warehouses, working with cross-functional teams to enable data-driven decision making and reliable analytics initiatives.

Qualifications

• Bachelor's degree in technology or equivalent experience.
• Experience building and optimizing data pipelines and datasets.
• Strong SQL, data modeling, and relational DB design skills.

Responsibilities

• Architect end-to-end cloud solutions on GCP for data analytics.
• Collaborate with stakeholders to define data sources and analytics goals.
• Design scalable, cost-efficient, secure cloud architectures.
• Develop ingestion, transformation, and processing pipelines.
• Lead implementation and configuration of GCP services.
• Mentor teammates and align data initiatives with goals.

Skills

SQL & Relational DB

Python

Java/Scala

Data Warehousing

Cloud Architecture

BigQuery

Spark

Kafka

Airflow

Education

Bachelor’s degree in Technology or related field

Tools

Google BigQuery

Kafka

Spark

Airflow

Job description

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
• Architect end-to-end cloud solutions on Google Cloud Platform to support data and analytics workloads
• 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.