A bachelor's degree in computer science, computer engineering, other technical discipline, or equivalent
3+ years hands-on expertise with application design, software development, and automated testing.
Strong programming knowledge in SQL, PySpark, Data Proc, Big Query Hands-on experience in Big Data technologies (Spark, Hive)
Understanding and experience with UNIX / Shell / Perl / Python scripting Database query optimization and indexing Web services design and implementation using REST / SOAP and Java is a plus.
Experience collaborating with the business to drive requirements/Agile story analysis.
Experience with design and coding across one or more platforms and languages as appropriate
Develop and maintain large scale data processing pipeline using PySpark Data Proc, Big Query and SQL.
Use Big Query and Data proc to migrate existing Hadoop/Spark/Hive workloads to Google Cloud.
Proficient in Big Query to carry out batch and interactive data analysis.
Function as member of an agile team by contributing to software builds through consistent development practices (tools, common components, and documentation)
Develops and tests software, including ongoing refactoring of code, and drives continuous improvement in code structure and quality
Enable the deployment, support, and monitoring of software across test, integration, and production environments
