Cloud Data Infrastructure Manager
7 days ago
We are seeking a highly skilled Data Reliability Engineer to join our team at the CME Group. As a key member of our Cloud data transformation, you will be responsible for ensuring the reliability, scalability, and efficiency of our data infrastructure on Google Cloud Platform.
About the Role:
This is an exceptional opportunity to work with a globally distributed team and contribute to the success of our organization. The successful candidate will have a strong background in data technologies, including relational databases, data warehousing, big data platforms, and data streaming. Experience with automation and scripting languages such as Python, Java, or Scala is highly desirable. Additionally, proficiency in cloud computing and data-intensive applications and services, particularly on Google Cloud Platform, is a must.
Responsibilities:
The primary responsibilities of this role include:
- Automating provisioning of infrastructure as code using tools such as Terraform and KCC.
- Building self-service capabilities for development teams to improve time-to-market and promote cloud adoption.
- Creating CI/CD pipelines using Jenkins, Bitbucket/Git.
- Creating monitoring dashboards and metrics using Splunk, Prometheus, Grafana.
- Writing unit tests in Go/Python/Java.
Qualifications:
To be successful in this role, you will need to possess the following qualifications:
- Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or related field, or equivalent practical experience.
- Experience as a Data Site Reliability Engineer or a similar role, with a focus on data infrastructure management.
- Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., AWS, GCP, Azure).
- Ideally some programming skills in languages like Python, Java, or Scala, with experience in automation and scripting.
- Experience with data governance, data security, and compliance best practices.
- Understanding of software development methodologies and best practices, including version control (e.g., Git).
- Ideally a background in cloud computing and data-intensive applications and services, with a focus on Google Cloud Platform.
- 3+ years of experience in data engineering or data science.
- Experience with data quality assurance and testing.
- Ideally knowledge of GCP data services (BigQuery; Data Fusion; Google Cloud Storage).
- Understanding of logging and monitoring using tools such as Cloud Logging, ELK Stack, AppDynamics, New Relic, Splunk, etc.
- Proven ability to learn new technologies, including open source and cloud-native offerings.
- Knowledge of AI and ML tools is a plus.
- Google Associate Cloud Engineer or Data Engineer certification is a plus.
Estimated Salary:
$120,000 - $180,000 per year, depending on experience.
About Us:
The CME Group is a leading global derivatives marketplace, serving the risk management needs of customers around the world. Our employees are passionate about what we do, and we offer a dynamic and supportive work environment that encourages collaboration, creativity, and growth. If you're looking for a challenging and rewarding career opportunity, we encourage you to apply.
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