GCP Engineer - Digi Ops @ Fractal Analytics

Its fun to work in a company where people truly BELIEVE in what they are doing!

Were committed to bringing passion and customer focus to the business.

Job Location: All Fractal Location Job Description Platform - Google Cloud Platform Cloud Storage Bucket DataProc Dataflow Big Query Cloud Run IAM Composer (Airflow) Big Data Technologies Spark, Hive Python, Scala SQL CI/CD Jenkins/GitHub/Nexus Outcomes/Success Criteria Drive the implementation of the defined innovation strategy through the design and architecture for analytics platform components/services utilizing Google Cloud Platform infrastructure and provide technical expertise to deliver advanced analytics Design, build operate a secure, highly-scalable, reliable platform to consume, integrate and analyze complex data using a variety of best-in-class platforms and tools Collaborate with various global IT teams to develop Big Data reference architecture patterns for data ingestion, data processing, analytics and data science solutions Drive innovation through developing proof-of-concept s and prototypes to help illustrate approaches to technology and business problems Provide strong technical skills with ability to design, architect, and get into low-level implementation details Be a hands-on developer and build scalable, real time, Big Data systems whilst providing a deep business understanding of CPG functions processes Proven experience in working with globally distributing agile teams Develop and maintain modern development data management methodology Qualifications Experience (List NO MORE than 5 minimum requirements candidates must meet in order to be considered and NO MORE than 5 desired qualifications that you would ideally like to see in candidates.) A bachelors degree in computer science, math, physics, engineering or a related field 3+ years of progressive experience in data and analytics, with at least 6 months experience in Google cloud platform Overall, 3+ years of progressive experience working in software engineering teams Experience with Google Cloud Platform technology stack for Data Analytics and Big data technologies (Big Query - DWH concepts, ANSI SQL, Big Table - HBase, DataProc - Spark/Hadoop, Dataflow - Apache Beam/Scala/Python) is required Experience in developing the data pipeline, ETL processes, data platform, data modelling, and data governance processes in delivering end-to-end solutions Solid foundation in design, data structures and algorithms, and strong analytical and debugging skills with customer-facing products experience Good understanding of private and public cloud design considerations and limitations in the areas of virtualization, global infrastructure, distributed systems, load balancing, networking, massive data storage, Hadoop, MapReduce, and security. Strong programming experience in Python and Scala Experience of using development tools like Eclipse and IntelliJ Experience of using Jenkins, GitHub flow and artifact repo. Experience developing real time data streaming pipelines Drive innovation by assessing, piloting, building DevOps/Cloud tooling and services to improve overall developer experience and productivity Expertise experience in building large scale, cloud based and open source projects. Hands-on solution driven attitude, with ability to turn around quick insights along with delivering strategic capabilities Multi-tasking ability to participate in multiple complex programs at the same time in an agile environment Strong organization and prioritization skills along with outstanding written and verbal communication skills Knowledge of agile software development methodolog

If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us!