Act as a trusted technical advisor to customers and solve complex Big Data challenges.
Create and deliver best practice recommendations, tutorials, blog articles, sample code, and technical presentations, tailoring approach and messaging to varied levels of business and technical stakeholders.
Analyze on-premises and cloud database environments and consult on the optimal design for performance and deployment on Google Cloud Platform.
Travel regularly up to 30% of the time, in-region for meetings, technical reviews, and onsite delivery activities.
Communicate effectively via video conferencing for meetings, technical reviews, and onsite delivery activities.
Minimum qualifications:
Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience.
3 years of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume).
2 years of experience in data engineering, data pipelining and data modeling.
Experience managing client-facing projects, troubleshooting technical issues, and working with Engineering and Sales Services teams.
Experience with database administration techniques or data engineering, and writing software in Java, C++, Python, Go, or JavaScript.
Preferred qualifications:
Experience in technical consulting.
Experience working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments.
Experience working with Big Data, information retrieval, data mining, or machine learning.
Experience in building multi-tier high availability applications with modern web technologies (e.g., NoSQL, MongoDB, SparkML, TensorFlow).
Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments.
