Data Engineer, Operations and Infrastructure Data Science

Job description

Minimum qualifications: - Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience. - 1 year of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume). - Experience with database administration techniques or data engineering, as well as writing software in Java, C++, Python, Go, or JavaScript. - Experience managing client-facing projects, troubleshooting technical issues, and working with engineering and sales services teams. 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. About the job: The Google Cloud Consulting Professional Ser...