Cloud Engineer for Large-Scale Data Solutions
3 days ago
We are seeking a talented Cloud Engineer to join our team at Mastech InfoTrellis. As a Cloud Engineer, you will be responsible for designing, implementing, and maintaining scalable data pipelines and solutions on Google Cloud Platform (GCP) using PySpark for processing and analysis.
Job DescriptionThe successful candidate will have expertise in GCP services, particularly BigQuery, Dataflow, Pub/Sub, and Cloud Storage. You will work closely with cross-functional teams to understand data requirements and translate them into technical solutions.
- Design, develop, and maintain data pipelines on GCP using PySpark for data processing, transformation, and analysis.
- Optimize and tune data pipelines for performance, scalability, and reliability.
- Implement best practices for data governance, security, and compliance.
- Collaborate with Data Scientists and Analysts to support their data needs and ensure data availability and quality.
The ideal candidate will have hands-on experience with PySpark for data processing and analysis, as well as a solid understanding of distributed computing principles and experience with large-scale data processing frameworks.
Mastech InfoTrellis offers a competitive salary range of $120,000 - $180,000 per year, depending on experience and qualifications.
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.
Mastech InfoTrellis is a service-based company that values innovation and excellence. We offer a dynamic and fast-paced work environment that encourages collaboration and growth.
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