GCP Data Engineer: Cloud Data Solutions Specialist
1 day ago
Job Summary: We are seeking a talented and motivated Data Engineer with expertise in Google Cloud Platform (GCP) to join our team at Mastech InfoTrellis.
About the Role:
This is a challenging and exciting opportunity to design, implement, and maintain scalable data pipelines and solutions on GCP using PySpark for processing and analysis. As a Data Engineer, you will work closely with cross-functional teams to understand data requirements and translate them into technical solutions.
Responsibilities:
- Design, develop, and maintain data pipelines on GCP using PySpark for data processing, transformation, and analysis.
- Collaborate with Data Scientists and Analysts to support their data needs and ensure data availability and quality.
- Troubleshoot and debug data pipeline issues in production environments.
- Optimize and tune data pipelines for performance, scalability, and reliability.
- Implement best practices for data governance, security, and compliance.
- Stay up-to-date with the latest trends and technologies in data engineering and cloud computing.
Requirements:
- Proven experience as a Data Engineer familiar with Databricks and GCP services.
- Strong proficiency in Google Cloud Platform (GCP) services, particularly BigQuery, Dataflow, Pub/Sub, and Cloud Storage.
- Hands-on experience with PySpark for data processing and analysis.
- Solid understanding of distributed computing principles and experience with large-scale data processing frameworks.
- Experience with SQL and NoSQL databases.
What You'll Need:
- Bachelor's or Master's degree in Computer Science & Engineering, or a related field.
- Google Cloud Platform (GCP) certification.
Estimated Salary: $120,000 - $180,000 per year
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