Google Cloud Platform Data Engineer
Posted 4 days ago by TechVirtue LLC
Negotiable
Undetermined
Hybrid
Remote or Hybrid in Hartford, Connecticut
Summary: The Google Cloud Platform Data Engineer role focuses on leveraging extensive IT experience and proficiency in Python to design and implement data solutions using Google Cloud services. The position requires strong analytical skills and experience in agile environments, with a preference for candidates who have significant expertise in ETL processes and Google Cloud Platform tools. This long-term position is hybrid, requiring three days in the office. All applicants must be authorized to work in the United States.
Key Responsibilities:
- Design and implement data solutions using Google Cloud Platform services.
- Develop and maintain scalable and efficient data pipelines for ETL processes.
- Collaborate with teams in an agile environment to deliver data-driven solutions.
- Utilize Python for scripting and automation tasks related to data management.
- Communicate effectively with stakeholders to understand data requirements.
Key Skills:
- At least 5 years of Information Technology experience.
- Proficiency in Python.
- Strong knowledge of ETL tools and processes.
- Expertise in Google Cloud Platform services (BigQuery, Cloud Storage, Dataflow, Dataproc, Cloud Composer).
- Strong communication and analytical skills.
- Experience working in an agile environment.
- Google Cloud Platform certifications are a plus.
Salary (Rate): £38.50 hourly
City: Hartford
Country: United States
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Google Cloud Platform Data Engineer
Location: Hartford, CT - Hybrid 3 days
Duration: long term
Required
- At least 5 years of Information Technology experience
- Proficiency in Python is highly desirable.
- Experience working in an agile environment.
- Strong knowledge of ETL tools and processes.
- Expertise in Google Cloud Platform services (BigQuery, Cloud Storage, Dataflow, Dataproc, Cloud Composer)
- Strong communication and Analytical skills
- All applicants authorized to work in the United States are encouraged to apply.
Preferred Qualifications:
- Have at least 5 years of experience in Google Cloud platform (especially BigQuery & DataFlow)
- Experience with Python and Google Cloud SDK & API Scripting
- Google Cloud Platform certifications (e.g., Google Cloud Professional Data Engineer) considered a plus.
- Capable of designing scalable and efficient data pipelines to extract, transform and load data from various sources into BQ
- Strong hands-on experience on Python.
- Excellent problem-solving and analytical skills.
- Excellent Communication, collaboration and presentation skills.