Senior Data Engineer

YOULL BUILD TECH THAT EMPOWERS GLOBAL BUSINESSES  

Our Connect Technology teams are working on our new Connect platform, a unified, global, open data ecosystem powered by Microsoft Azure. Our clients around the world rely on Connect data and insights to innovate and grow.  

As a Senior Data Engineer, you’ll be part of a team of smart, highly skilled technologists who are passionate about learning and supporting cutting-edge technologies such as Spark, Scala, Pyspark, Databricks, Airflow, SQL, Docker, Kubernetes, and other Data engineering tools.  These technologies are deployed using DevOps pipelines leveraging Azure, Kubernetes, Jenkins and Bitbucket/GIT Hub.   

WHAT YOU’LL DO:

• Develop, test, troubleshoot, debug, and make application enhancements leveraging, Spark , Pyspark, Scala, Pandas, Databricks, Airflow, SQL as the core development technologies.  
• Deploy application components using CI/CD pipelines.  
• Build utilities for monitoring and automating repetitive functions.  
• Collaborate with Agile cross-functional teams - internal and external clients including Operations, Infrastructure, Tech Ops  
• Collaborate with Data Science team and productionize the ML Models.  
• Participate in a rotational support schedule to provide responses to customer queries and deploy bug fixes in a timely and accurate manner  

Qualifications

WE’RE LOOKING FOR PEOPLE WHO HAVE:   

• 6-9 Years of years of applicable software engineering experience   
• Strong fundamentals with experience in Bigdata technologies, Spark, Pyspark, Scala, Pandas, Databricks, Airflow, SQL,   
• Must have experience in cloud technologies, preferably Microsoft Azure.  
• Must have experience in performance optimization of Spark workloads.  
• Good to have experience with DevOps Technologies as GIT Hub, Kubernetes, Jenkins, Docker.  
• Good to have knowledge of relational databases, preferably PostgreSQL.  
• Excellent English communication skills, with the ability to effectively interface across cross-functional technology teams and the business   
• Minimum B.S. degree in Computer Science, Computer Engineering or related field  

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)