Google Cloud Platform Data Engineer

Google Cloud Platform Data Engineer
Location: Sunnyvale, CA. REMOTE

Job Description:
10 years of Python and SQL skills.

Key Responsibilities:

Advanced Data Analysis:

Perform deep-dive data analysis using SQL, Python, and R to uncover trends, patterns, and actionable insights.

Collaborate with stakeholders to translate business questions into analytical solutions.

ETL & Dashboard Development:

Design, build, and maintain automated ETL pipelines on Google Cloud Platform using tools like Dataflow, BigQuery, and Cloud Composer.

Develop and deploy real-time dashboards using Looker, Data Studio, or other BI tools to support data-driven decision-making.

Workflow Optimization:

Identify and implement opportunities to streamline data workflows across cross-functional teams.

Drive process improvements and automation to enhance data accessibility and reliability.

High-Impact Delivery:

Thrive in a fast-paced, high-impact environment, managing multiple priorities and delivering results under tight deadlines.

Communicate findings and recommendations clearly to both technical and non-technical audiences.

Required Skills & Qualifications:

Proficiency in SQL for complex data querying and transformation.

Intermediate experience with Python and R for data manipulation and statistical analysis.

Hands-on experience with Google Cloud Platform services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Cloud Functions.

Experience building automated ETL pipelines and working with streaming data.

Familiarity with dashboarding tools like Looker, Tableau, or Google Data Studio.

Strong problem-solving skills and ability to work independently and collaboratively.

Excellent communication and stakeholder management skills.

Preferred Qualifications:

Google Cloud Platform certification (e.g., Professional Data Engineer).

Experience with CI/CD pipelines and infrastructure as code (e.g., Terraform).

Background in data science or machine learning is a plus.