Associate Cloud Engineer

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.