Cloud Data Solutions Engineer
3 weeks ago
Cox Communications, a leading provider of broadband services, is seeking an experienced Cloud Data Solutions Engineer to join our team. As a key member of our data engineering group, you will play a critical role in designing and implementing robust data solutions that drive business growth and innovation.
About the Role
As a Senior Data Engineer, you will be responsible for modernizing our data infrastructure by migrating customer systems from legacy on-premise solutions to cloud-based architectures using GCP, AWS, and Azure. You will collaborate closely with cross-functional teams to design, build, and maintain scalable data pipelines and storage solutions.
Key Responsibilities
- Design and implement data lake, data warehousing, ETL, streaming, and data analytics solutions across GCP, AWS, and Azure platforms.
- Migrate data and processes from legacy on-premise systems (e.g., SQL Server, relational databases) to cloud-based solutions.
- Develop efficient, scalable data pipelines to ingest, process, and transform data from various sources.
- Optimize data storage and retrieval systems for performance and cost-efficiency.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver appropriate solutions.
- Implement data quality checks and monitoring systems to ensure data integrity and reliability.
- Contribute to the development of best practices and standards for data engineering within the organization.
- Participate in code reviews and knowledge sharing sessions with the team.
- Implement and maintain CI/CD pipelines for data engineering projects.
- Use Infrastructure as Code (IaC) practices to manage and version cloud resources.
Qualifications
To be successful in this role, you will need:
- Bachelor's degree in a related discipline and 4 years' experience in a related field OR a Master's degree and 2 years' experience OR a Ph.D. and 1 year of experience OR 16 years' experience in a related field.
- 3 years of hands-on experience with cloud data solutions (GCP, AWS, Azure) designing and implementing solutions in at least one of these platforms.
- Experience in two programming languages (e.g., Node.js, Go, Python or others) with a working knowledge of additional languages. Experience with transforming legacy code (e.g., Java, .Net) into cloud-native microservices.
- Experience building and maintaining CI/CD pipelines and utilizing cloud automation tools for efficient software deployment.
- Experience in Python or SQL programming languages. Experience with transforming legacy code (e.g., Java, .Net) into cloud-native microservices.
- Experience with Terraform for Infrastructure as Code (IaC)
Preferred Qualifications
The following qualifications are desirable:
- Experience with machine learning and AI services (e.g. Google Cloud AI Platform, Amazon SageMaker, Azure Machine Learning).
- Knowledge of data modeling, data warehousing concepts, and dimensional modeling.
- Professional certifications from GCP, AWS, and/or Azure.
- Knowledge of containerization technologies (e.g., Docker, Kubernetes).
Compensation and Benefits
We offer a competitive salary range of $97,100 - $161,800 per year, based on factors such as location and candidate qualifications. Additionally, we provide a comprehensive benefits package, including health insurance, retirement planning, and paid time off.
About Cox Communications
Cox Communications is the largest private telecom company in America, serving six million homes and businesses. Our mission is to empower employees to build a better future and make a positive impact on our communities. We strive to create a work environment that fosters collaboration, innovation, and growth.
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