Live opening · Posted 4 days ago
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About the role
Description supplied by the original job listing.
YOU’LL 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
8-12 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 a cross cross-functional technology teams and the business
Minimum B.S. degree in Computer Science, Computer Engineering or related
field
Employment type
Full-time
Work arrangement
No
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