job description
Join Google as a Cloud Consultant, Data Analytics and be part of a dynamic team driving innovation in cloud migration and big data solutions. In this role, you will leverage your expertise to help clients transform their data infrastructure, optimize cloud performance, and unlock actionable insights. Based in the vibrant locations of Bali, you'll collaborate with global teams while enjoying a flexible work environment.
At Google, we empower businesses to harness the power of data through cutting-edge cloud technologies. As a Cloud Consultant, you will play a pivotal role in designing scalable data solutions, ensuring seamless migration, and delivering impactful analytics strategies. This is a unique opportunity to work with industry-leading tools and contribute to high-impact projects that shape the future of data-driven decision-making.
If you are passionate about cloud computing, data analytics, and driving digital transformation, we invite you to apply and take your career to new heights with Google.
Responsibility
- Design and implement cloud-based data solutions tailored to client needs.
- Lead cloud migration projects, ensuring minimal downtime and optimal performance.
- Develop and optimize data pipelines for efficient data processing and analytics.
- Collaborate with cross-functional teams to deliver scalable and secure cloud architectures.
- Provide expert guidance on data governance, security, and compliance best practices.
- Analyze client requirements and recommend innovative cloud and analytics solutions.
- Monitor and troubleshoot cloud environments to ensure high availability and performance.
- Stay updated with emerging trends in cloud computing and data analytics to drive continuous improvement.
Qualifications
- Bachelor's or Master's degree in Computer Science, Data Analytics, or a related field.
- Proven experience in cloud computing (e.g., Google Cloud Platform, AWS, Azure).
- Strong expertise in big data technologies (e.g., Hadoop, Spark, BigQuery).
- Experience with data migration, ETL processes, and data warehousing.
- Proficiency in programming languages such as Python, SQL, or Java.
- Excellent problem-solving skills and the ability to work in a fast-paced environment.
- Strong communication and collaboration skills to work with global teams.
- Certifications in cloud platforms (e.g., Google Cloud Professional Data Engineer) are a plus.