Cloud Ace Career Opportunity

Job Description

This vacancy is managed in cooperation with Google Cloud ID for its Partner Technical Residency Program. 

This vacancy is only open to graduates of the Bangkit Cloud Computing program.

About the Google Cloud ID Partner Technical Residency Program:

If you are hired for this position, you have the opportunity to join the Google Cloud ID Partner Technical Residency Program which includes a 6 monthly program of Google Cloud hand-holding activities such as:

• Monthly Study Gathering: Study gathering involving all new hires to transfer knowledge around technical, best practices, soft skills, and learning progress.
• Mentorship: Pair with Google Cloud’s CE/PE for mentorship and gain insight from experts.
• Shadow/Reverse Shadowing: Involve in real customer-facing activities and get feedback from Google Cloud CEs/PE.

About Our Company:

This position is not under Google Cloud ID.

We are proudly recognized as experts in multiple fields by Google, holding prestigious Google Cloud Specializations in Application Development, Cloud Migration, Infrastructure, Data Analytics, Machine Learning, Security, and Training in Infrastructure and Data Analytics. With an impressive number of specializations, we stand out as a global leader.

Our journey with Google Cloud began over a decade ago, collaborating closely to deliver cutting-edge Google Cloud solutions. As the leading Google Cloud reseller in Japan and a longstanding Google Cloud Partner, we extend our impact beyond Japan by collaborating with Google teams in Singapore and other APAC countries.

At Cloud Ace, we not only boast a team of professional engineers specialized in Google Cloud but also prioritize continuous learning and certification. Currently, we hold over 300 Google Cloud Platform certifications, a testament to our commitment to excellence. We invite the brightest graduates to join us through our esteemed

Cloud Data Junior Engineer

Key Responsibilities:

As a Cloud Data Junior Engineer, your primary responsibilities will involve working with data-related aspects within the Google Cloud Platform (GCP). You will be part of a collaborative team, contributing to the development and maintenance of data solutions. Key responsibilities include:

• Data Engineering:
• Design, build, and maintain data pipelines and data processing systems on GCP.
• Collaborate with the team to ensure efficient data flow and accessibility.
• GCP Services Implementation:
• Implement and configure GCP services related to data, such as BigQuery, Cloud Storage, and Dataflow.
• Ensure seamless integration of diverse data sources into GCP environments.
• Data Security and Compliance:
• Implement and adhere to data security best practices and compliance standards.
• Work towards maintaining data integrity and confidentiality.
• Monitoring and Optimization:
• Set up monitoring systems for data pipelines, ensuring reliability and performance.
• Continuously optimize data processes for efficiency and cost-effectiveness.
• Collaboration and Documentation:
• Collaborate with cross-functional teams to understand data requirements.
• Document data processes, configurations, and best practices.
• Learning and Development:
• Engage in continuous learning to stay updated with the latest GCP data technologies.
• Participate in the Cloud Ace certification training program for professional development.

Qualifications:

• Bachelor’s Degree in computer science, and information technology with a minimum GPA of 3.00 out of 4.00 scales.
• Fresh graduate with knowledge in architecting, designing, developing, and implementing cloud solutions.
• Graduate of the Bangkit Cloud Computing program.
• Google Associate Cloud Engineer certification holder is preferred.
• A maximum of 2 years of work experience since university graduation
• Ability to work independently and prioritize multiple tasks/projects.
• Strong aptitude for learning and commitment to ongoing professional development.
• Demonstrated integrity, problem-solving skills, analytical thinking, and effective communication.
• Have two or more knowledge and skills such as :
• Cloud Architecture
• Deep understanding of GCP services, including BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Composer, Data Catalog, and Cloud Dataflow.
• Experience with big data processing tools and techniques, such as Apache Beam, Apache Spark, and MapReduce.
• Knowledge of data warehousing concepts, covering data modeling, ETL (Extract, Transform, Load), and data quality management.
• Strong proficiency in SQL for database queries and manipulation.
• Proficiency in scripting languages, such as Python or Bash, for automation and data processing.
• Familiarity with machine learning concepts.
• Experience working with Google Cloud AI Platform services, including BigQuery ML, Vertex AI, and TensorFlow.
• Understanding of version control systems like Git for collaborative development and code management.
• Knowledge of data governance principles and security best practices in the cloud.
• Good communication skills in English, both oral and written.
• Contact & Full-Time Position

Benefits:

• THR, BPJS K, BPJS TK, Private Health Insurance, Performance Bonus, Working tools provided (Laptop), Currently Hybrid Working arrangement.