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, presenting to, or influencing technical stakeholders or executive leaders. - Experience using programming languages (e.g., Python, Spark, SQL) to design demos, prototypes, or workshops with customers. Preferred qualifications: - Experience in technical sales or consulting in cloud computing, data lifecycle, and Big Data. - Experience designing or optimizing scalable systems on cloud computing platforms (e.g., Google Cloud, Snowflake, Databricks) and working with data lakes, warehouses, real-time processing, and ETL/ELT (e.g., dbt, Fivetran, Airflow). - Experience translating business problems into predictive workflows (e.g., forecasting, anomaly detection) for insights. - Experience writing code in Python, Java, Scala, Go, or R for data pipeline...