Job Summary
5+ years of experience writing and deploying high-quality production code Spark/Pyspark with strong Python SQL. 5+ years of hands on experience in managing and optimizing Big Data ecosystems such as Spark Pyspark to build sustainable technical solutions that verifiably meet specific well-defined business requirements Experience selecting and using industry-standard open source and/or commercial tools and libraries to solve specific prob
Responsibilities
8.Roles & Responsibilities Work collaboratively in a small team of engineers maintaining and improving our product Help shape the future of our technology platform. Infuse industry best practices into our team processes and development practices. Assist in architectural design and implementation of our systems and interfaces. Define infrastructure components leveraging tools like Docker Kubernetes and Terraform. Foster a positive environment of integrity empowerment initiative and teamwork. Provide operational support for our teams production systems. Work with your team and managers to shape your role into a convergence of the companys needs and your own capabilities interests and desires. Help rearchitect our existing systems to provide a more powerful and flexible data processing environment at scale. Demonstrate operational excellence supporting our production systems.

Keyskills: hive kubernetes production pyspark apache pig source hibernate sql docker spring open source java spark writing flume hadoop big data hbase architectural design python interfaces operational support oozie data processing big data ecosystem quality mapreduce hdfs terraform sqoop
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