Sr Snowflake AI Data Engineer

Job Details Snowflake AI Data Engineer Long Term Contract / Direct Hire Sunnyvale, CA (Onsite) Data Engineer - Snowflake + AI "The team engineers high-quality, scalable and resilient distributed systems on cloud that power data exploration, analytics, reporting and production models. Its core systems are diverse and come with an unusual intersection of high data volumes with systems distributed across cloud and on-premise infrastructure. This role involves building solutions that integrate open source software with the internal ecosystem. The individual in this role will drive development of new components and features from concept to release: designing, building, testing, and shipping at a regular cadence. They will work closely with internal customers to understand their requirements and workflows, and propose new features and ecosystem changes to streamline their experience of using the solutions on the platform. This is a challenging software engineering role, where a large part of an engineer s time is spent in writing code and designing/developing applications on cloud, with the remainder being spent on tuning and debugging codebase, supporting production applications and supporting application end users. This role requires in-depth knowledge of innovative technologies and cloud data platform with the ability to independently learn new technologies and contribute to the success of various initiatives. Minimum Qualification Knowledge of BI concepts and implementation experience on Cloud with databases like Snowflake or Big Query Programming experience in building high-quality software with at-least one of the following programming languages - Python, Scala or Java. Experience in developing highly optimized SQLs, procedures & semantic process for distributed data applications. Bachelor''s degree in Computer Science or equivalent experience Preferred Qualification Strong experience building enterprise-level data applications on distributed systems Hands-on experience in designing and development of cloud-based applications that include compute services, database services, APIs to design RESTful services, ETL, queues and notification services. Experience in cloud data warehousing platforms like Snowflake is highly valued Experience developing Big Data applications using Java, Spark, Kafka is a huge plus Understanding of fundamentals of object-oriented design, data structures, algorithm design, and problem solving Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud

Data Visualization Tools:

experience in software such as Streamlit, Superset, Tableau, Business Objects, and Looker

Data Insights and KPIs:

Working experience on generating and visualizing data insights, metrics, and KPIs. Usage of basic ML models in the space of anomaly detection, forecasting, GenAI.