Junior Cloud Engineer Job at Openkyber, Georgia

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  • Openkyber
  • Georgia

Job Description

Google Cloud Platform Data Engineers and Google Cloud Platform Architects
Location: Atlanta (Hybrid) Only Locals and near by

F2F interview is mandatory . Day-1 onsite.

Job Summary:
We are seeking a skilled Google Cloud Platform (Google Cloud Platform) Data Engineer to design, build, and optimize data pipelines and analytics solutions in the cloud. The ideal candidate must have hands-on experience with Google Cloud Platform data services, strong ETL/ELT development skills, and a solid understanding of data architecture, data modeling, data warehousing and performance optimization.

Key Responsibilities:

  • Develop ETL/ELT processes to extract data from various sources, transform it, and load it into BigQuery or other target systems.
  • Build and maintain data models, data warehouses, and data lakes for analytics and reporting.
  • Design and implement scalable, secure, and efficient data pipelines on Google Cloud Platform using tools such as Dataflow, Pub/Sub, cloud run, Python and linux scripting.
  • Optimize BigQuery queries, manage partitioning and clustering, and handle cost optimization.
  • Integrate data from on-premise and cloud systems using Cloud Storage, and APIs.
  • Work closely with DevOps teams to automate deployments using Terraform, Cloud Build, or CI/CD pipelines.
  • Ensure security and compliance by applying IAM roles, encryption, and network controls.
  • Collaborate with data analysts, data scientists, and application teams to deliver high-quality data solutions.
  • Implement best practices for data quality, monitoring, and governance.
Required Skills and Experience:
  • Bachelor s degree in Computer Science, Information Technology, or related field.
  • Minimum 8 years of experience in data engineering, preferably in a cloud environment.
  • Minimum 3 years of hands-on and strong expertise in Google Cloud Platform services: BigQuery, Cloud storage, Cloud run, Dataflow, Cloud SQL, AlloyDB, Cloud Balancer, PubSub, IAM, Logging and Monitoring.
  • Proficiency in SQL, Python and Linux scripting.
  • Prior experience with ETL tools such as Datastage, Informatica, SSIS
  • Familiarity with data modeling (star/snowflake) and data warehouse concepts.
  • Understanding of CI/CD, version control (Git), and Infrastructure as Code (Terraform).
  • Strong problem-solving and analytical mindset.
  • Effective communication and collaboration skills.
  • Ability to work in an agile and fast-paced environment.
  • Google Cloud Platform Professional Data Engineer or Cloud Architect certification is a plus

Job Tags

Local area,

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