Senior Data Engineer - GCP & Kubernetes (Remote)
About the Role
We are hiring a Senior Data Engineer (Remote) to join our innovative team at Enterprise Minds, Inc. As a Senior Data Engineer, you will design and build scalable data systems and pipelines, leveraging your expertise in Google Cloud Platform (GCP) and Kubernetes. This role offers an exciting opportunity to advance your career in data engineering while working remotely.
What You'll Do
- Design, build, and maintain scalable data pipelines that support various data-driven applications.
- Work with both structured and unstructured data using SQL to ensure efficient data processing.
- Deploy and manage workflows on Kubernetes, optimizing performance and reliability.
- Utilize GCP services for data engineering tasks, ensuring best practices are followed.
- Collaborate with cross-functional teams to drive data-driven decisions and strategies.
- Ensure data quality, reliability, and performance through rigorous testing and monitoring.
Requirements
- Strong hands-on experience in SQL, with a focus on data manipulation and query optimization.
- Experience with Kubernetes for container orchestration and management.
- Proficiency in Google Cloud Platform (GCP) and its data services.
- Experience in building and optimizing data pipelines for performance and scalability.
- Good understanding of distributed systems and cloud architecture principles.
Nice to Have
- Familiarity with data warehousing solutions and ETL processes.
- Experience with machine learning frameworks and tools.
- Knowledge of data governance and compliance standards.
What We Offer
- Competitive salary ranging from $90,000 to $120,000 per year.
- Comprehensive relocation support packages for those looking to move to India.
- Flexible remote work options to maintain work-life balance.
- Opportunities for professional development and career advancement.
- Collaborative and innovative work environment with a focus on data-driven solutions.
This Senior Data Engineer role offers a fantastic opportunity to work remotely while leveraging your skills in GCP and Kubernetes. With competitive salary and relocation support, it's an attractive position for data professionals.
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