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

Robotics Prcocess Automation, LLC; Atlanta (GA); On-site; USD 100,000 - 120,000; Full time

Job summary

A technology solutions provider is seeking a skilled Google Cloud Platform Data Engineer in Atlanta, GA. The candidate will design, build, and optimize data pipelines using tools such as BigQuery, Dataflow, and Pub/Sub. Required qualifications include 8+ years in data engineering and expertise in SQL, Python, and ETL tools. The role involves close collaboration with data analysts and DevOps teams to ensure high-quality data solutions, making it ideal for those with a strong analytical mindset.

Qualifications

• 8+ years of experience in data engineering, preferably in a cloud environment.
• Proficiency in SQL, Python, and Linux scripting.
• Strong problem-solving and analytical mindset.

Responsibilities

• Develop ETL/ELT processes to extract data from various sources.
• Build and maintain data models, data warehouses, and data lakes.
• Design and implement scalable and efficient data pipelines on Google Cloud Platform.

Skills

ETL/ELT development

SQL

Python

Linux scripting

BigQuery

Data modeling

CI/CD

Terraform

Education

Bachelor's degree in Computer Science, Information Technology, or related field

Tools

Dataflow

Pub/Sub

Datastage

Informatica

SSIS

Job description

Location: Atlanta, GA

Duration: 24Months+ Extension

Hourly Rate: Depending on Experience (DOE)

Work Authorization: Sr. Google Cloud Platform Data engineer /Google Cloud Platform Architect - Atlanta GA-onsite only locals and F2F interview must- with experience in BigQuery, 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.

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 modelling, data warehousing and performance optimisation.

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 optimisation.
• 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 experience and strong expertise in Google Cloud Platform services:

• BigQuery
• Cloud Storage
• Cloud Run
• Dataflow
• Cloud SQL
• AlloyDB
• Cloud Balancer
• Pub/Sub
• IAM
• Logging
• Monitoring

Proficiency in SQL, Python and Linux scripting.

Prior experience with ETL tools such as Datastage, Informatica, SSIS.

Familiarity with data modelling (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.

Employment Equity Statement

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.