Customer Engineer, Data Analytics, Google Cloud

Job description

Minimum qualifications: - Bachelor's degree or equivalent practical experience. - 10 years of experience with cloud native architecture in a customer-facing or support role. - Experience with "Big Data" technologies or concepts (e.g., analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, Spark, performance or scalability optimizations, batch versus streaming). - Experience engaging with, or presenting to, technical stakeholders or executive leaders. - Experience using programming languages (e.g., Python, Spark, SQL) to demo, prototype, or workshop with customers. Preferred qualifications: - Experience working with ISVs. - Experience in technical sales or consulting in cloud computing, data analytics, and Big Data. - Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools, and data governance on cloud native architectures. - Experience with architecture design, implementing, tuning, schema design, and query optimization of scalable and distributed systems. - Experience with cloud computing (e.g., infrastructure, st...