Data Reliability Engineer

3 weeks ago

Belfast, United Kingdom CME Group Inc Full time

Data System Reliability Engineer (dSRE)
A crucial role in CME's Cloud data transformation, the data SRE will be aligned to data product pods ensuring the our data infrastructure is reliable, scalable, and efficient as the GCP data footprint expands rapidly.
Automate data tasks on GCP
Work with data domain owners, data scientists and other stakeholders to ensure that data is consumed effectively on GCP
Design, build, secure and maintain data infrastructure, including data pipelines, databases, data warehouses, and data processing platforms on GCP
Measure and monitor the quality of data on GCP data platforms
Implement robust monitoring and alerting systems to proactively identify and resolve issues in data systems. Respond to incidents promptly to minimize downtime and data loss.
Develop automation scripts and tools to streamline data operations and make them scalable to accommodate growing data volumes and user traffic.
Optimize data systems to ensure efficient data processing, reduce latency, and improve overall system performance.
Collaborate with data and infrastructure teams to forecast data growth and plan for future capacity requirements.
Ensure data security and compliance with data protection regulations. Implement best practices for data access controls and encryption.
Collaborate with data engineers, data scientists, and software engineers to understand data requirements, troubleshoot issues, and support data-driven initiatives.
Continuously assess and improve data infrastructure and data processes to enhance reliability, efficiency, and performance.
Maintain clear and up-to-date documentation related to data systems, configurations, and standard operating procedures.
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., 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; Understanding of logging and monitoring using tools such as Cloud Logging, ELK Stack, AppDynamics, New Relic, Splunk, etc.
Google Associate Cloud Engineer or Data Engineer certification is a plus
Create monitoring dashboards and metrics using Splunk, Prometheus, Grafana
Write unit tests in Go/Python/Java
Here, you can impact markets worldwide.

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