Google Cloud Platform Data Engineer - Local to CT

Google Cloud Platform Data Engineer (AI Experience)
Hartford, CT (HYBRID)
Contract to Hire position.

Location: Hartford, CT (Must work onsite 3 days per week)

MUST BE LOCAL

Required - Must have experience AI - GPT, Gemini. Must be able to demonstrate how they use it. Using it as business use cases on resume. Must be highlighted clear on the resume

· Required - minimum 7 years of proven hands-on experience with Google Cloud Platform data services.

· Preferred - Google Cloud Platform Google Cloud Professional Data Engineer Certification.

· Required Strong understanding of distributed systems and data engineering best practices.

· Required Excellent communication and documentation skills.

· Required Ability to work independently and collaboratively in a fast-paced environment.

· Required experience in Agile methodology with preferred experience in SAFe methodology

· Required good communication and collaborative skills

· Required experience working in onshore/offshore support model collaborating work with offshore teams.

· Preferred experience working with GitHub, RTC, automation tools.

Required - minimum 3 years of proven hands-on experience in the following:

• Design and implement robust data pipelines using Google Cloud Platform (Google Cloud Platform) services such as BigQuery, Cloud Storage, and Pub/Sub.

• Develop and manage workflows using Cloud Composer (Apache Airflow) for efficient scheduling and orchestration.

• Write clean, efficient, and scalable code in Python, leveraging advanced programming techniques.

• Craft complex SQL queries in BigQuery, including window functions, CTEs, and performance tuning strategies.

• Build and maintain real-time data processing systems using Apache Kafka.

• Model and manage NoSQL databases, particularly MongoDB, with a focus on scalable schema design.

• Utilize Shell scripting and perform Linux system administration tasks to support data infrastructure.

• Conduct data profiling and implement validation techniques to ensure data quality and integrity.

• Develop and maintain API integration scripts for seamless service automation and data exchange.

• Troubleshoot and resolve data-related issues with strong analytical and problem-solving skills.

• Create and maintain data flow diagrams to clearly communicate architecture and pipeline logic to stakeholders.

Develop and manage workflows using Cloud Composer 3