Senior Data Reliability Engineer (Data SRE)

    • CME Group
  • Posted 53 days ago | Updated 4 days ago

Overview

On Site
Full Time

Skills

Google Cloud Platform
Standard operating procedure
Software development methodology
Data quality
Reliability engineering
Risk management
Data integrity
Data security
Data domain
Data warehouse
Data processing
Access control
Computer science
Software engineering
Data Science
Infrastructure management
Relational databases
Big data
Cloud computing
Java
Data governance
Version control
New Relic
Data engineering
Data
CME
Leadership
Derivatives
IMPACT
Finance
Transformation
Automation
Design
Database
Scripting
Operations
Collaboration
Forecasting
Regulatory Compliance
Encryption
Documentation
FOCUS
Apache Hadoop
Apache Spark
Streaming
Apache Kafka
Amazon Web Services
Microsoft Azure
Software development
Python
NumPy
Pandas
PySpark
Collections
Scala
Orchestration
Docker
Kubernetes
Git
Continuous integration
Continuous delivery
Testing
Data flow
Fusion
Storage
AppDynamics
Splunk
Artificial intelligence
Machine Learning (ML)
DirectShow
DICE
Privacy
Policies

Job Details

Description
This role is hybrid requires to be 2 days on site in our Chicago office.
This role does not allow to work outside of Illinois state.

Position Overview:
Data System Reliability Engineer (dSRE)

CME Group: Where Futures Are Made
CME Group is the world's leading and most diverse derivatives marketplace. But who we are goes deeper than that, here you can impact markets worldwide, transform industries and build a career shaping tomorrow. We invest in your success and you own it, all the while working alongside a team of leading experts who inspire you in ways big and small. Joining our company gives you the opportunity to make a difference in global financial markets every day, whether you work on our industry-leading technology and risk management services, our benchmark products or in a corporate services area that helps us serve our customers better. We're small enough for you and your contributions to be known. But big enough for your ideas to make an impact. The pace is dynamic, the work is unlike any other firm in the business, and the possibilities are endless. Problem solvers, difference makers, trailblazers. Those are our people. And we're looking for more.

To learn more about what a career at CME Group can offer you, visit us at .

Role Overview:

A crucial role in CME's Cloud data transformation, the data SRE will be aligned to data product pods ensuring the firm's data infrastructure is reliable, scalable, and efficient as the Google Cloud Platform data footprint expands rapidly. Responsibilities include optimizing data pipelines, ensuring data integrity and consistency, enhancing system resiliency where applicable, maintaining and improving data security, proactive alerting and monitoring for data pipelines, and automating repetitive data-oriented tasks.

Accountabilities:
  • 8+ years of related to the role experience.
  • We are looking for person who can work independently.
  • Automate data tasks on Google Cloud Platform
  • Work with data domain owners, data scientists and other stakeholders to ensure that data is consumed effectively on Google Cloud Platform
  • Design, build, secure and maintain data infrastructure, including data pipelines, databases, data warehouses, and data processing platforms on Google Cloud Platform
  • Measure and monitor the quality of data on Google Cloud Platform 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.
Qualifications:
  • Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science or related field, or equivalent practical experience
  • Proven experience as a Data Site Reliability Engineer or a similar role, with a strong focus on data infrastructure management
  • Good understanding of SRE practice.
  • Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, Google Cloud Platform, Azure).
  • Strong programming skills in languages like Python (numpy, pandas, pyspark), Java (Core Java, Spark with Java, functional interface, lambda, java collections), or Scala, with experience in automation and scripting.
  • Experience with containerization and orchestration tools like Docker and Kubernetes is a plus.
  • Experience with data governance(data plex), data security, and compliance best practices on Google Cloud Platform
  • Solid understanding of software development methodologies and best practices, including version control (e.g., Git) and CI/CD pipelines.
  • Strong background in cloud computing and data-Intensive applications and services, with a focus on Google Cloud Platform
  • Experience with data quality assurance and testing on Google Cloud Platform
  • Proficiency with Google Cloud Platform data services (BigQuery; Dataflow; Data Fusion; Dataproc; Cloud Composer; Pub/Sub; Google Cloud Storage)
  • Strong understanding of logging and monitoring using tools such as Cloud Logging, ELK Stack, AppDynamics, New Relic, Splunk, etc.
  • Knowledge of AI and ML tools is a plus
  • Google Associate Cloud Engineer or Data Engineer certification is a plus
  • 2+ years of experience in data engineering or data science on Google Cloud Platform

#LI-Hybrid
#LI-DS
#dice

CME Group: Where Futures Are Made

CME Group ( is the world's leading derivatives marketplace. But who we are goes deeper than that. Here, you can impact markets worldwide. Transform industries. And build a career shaping tomorrow. We invest in your success and you own it, all while working alongside a team of leading experts who inspire you in ways big and small. Problem solvers, difference makers, trailblazers. Those are our people. And we're looking for more.

At CME Group, we embrace our employees' diverse experiences, cultures and skills, and work to ensure that everyone's perspectives are acknowledged and valued. As an equal opportunity employer, we recognize the importance of a diverse and inclusive workplace and consider all potential employees without regard to any protected characteristic.
The Candidate Privacy Policy can be found here.