Sr. Google Cloud Platform Data engineer​/Google Cloud Platform Architect

Location

Atlanta, GA

24

Months+ Extension

Depending on Experience (DOE)

Sr. Google Cloud Platform Data engineer /Google Cloud Platform Architect – Atlanta GA-onsite only locals and F2F interview must- with experience in Big Query, Dataflow, Pub/Sub, Cloud Run), 8+ years Data Engineering, ETL/ELT, SQL, Python, Linux scripting, data modeling/warehousing, ETL tools (Datastage/Informatica/SSIS), CI/CD, Git, Terraform.

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.

• Develop ETL/ELT processes to extract data from various sources, transform it, and load it into Big Query 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 Big Query 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 Dev Ops 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.

• 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:
• Big Query, Cloud Storage, Cloud Run, Dataflow, Cloud SQL, Alloy
  
  DB, Cloud Balancer, Pub/Sub, 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.

ROBOTIC PROCESS AUTOMATION LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTIC PROCESS AUTOMATION LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters.

Nor will ROBOTIC PROCESS AUTOMATION LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.