Remote Senior GCP Data Engineer

Description:

• Design, develop, and maintain scalable data pipelines and ETL processes on Google Cloud Platform (GCP).
• Strong programming experience using Python.
• Utilize BigQuery for data warehousing solutions and ensure efficient data querying and storage.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and translate them into technical solutions.
• Implement data models and data storage solutions on GCP that ensure data integrity, performance, and reliability.
• Optimize and tune data processing systems for performance and scalability on GCP.
• Ensure the security and privacy of data through GCP’s data governance practices.
• Troubleshoot and resolve data-related issues, ensuring data quality and consistency.
• Document data architecture, processes, and systems for cross-functional team use.
• Stay current with emerging trends and technologies in data engineering and integrate them into our data infrastructure on GCP.

Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Senior Data Engineer with 7-8 years of experience, specifically with Google Cloud Platform.
• Proficiency in SQL and experience with BigQuery.
• Experience with GCP services such as Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Cloud Functions.
• Proficiency in programming language majorly Python.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

Benefits:

• Competitive salary based on experience and skills.
• Health insurance and other benefits package.
• Opportunity to work with a dynamic and innovative team.
• Professional development opportunities to stay updated with the latest technologies.
• Chance to contribute to strategic initiatives using Google Cloud Platform.