Snowflake engineer

Senior Data Engineer AWS / Spark / Snowflake Requirements Strong AWS experience; build, design & maintain data pipelines using Java Spark & PySpark Advanced SQL (complex queries, curation, views, performance tuning) Cloud data warehouses: Snowflake & AWS Redshift Performance optimization & troubleshooting of data jobs Agile, CI/CD, application resiliency & security best practices Data structures & serialization: JSON, Avro, Protobuf Big-data storage: Parquet, Iceberg Processing methods: batch,

Role Title: Snowflake Engineer Location: Remote Duration: Long term Required Skills & Qualifications: Strong experience with Snowflake Data Cloud (architecture, performance tuning, security). Hands-on expertise with Snowflake Cortex Code for advanced data engineering. Proficiency in Python for automation, ETL, and ML workflows. Experience building interactive applications with Streamlit. Knowledge of Snowflake Horizon Catalog for metadata management and governance. Familiarity with Snowflake I

Required Skills: Snowflake Cortex Code, Snowflake Horizon Catalog, Python, Streamlit, Snowflake Intelligence Responsibilities: Snowflake data engineering Expected Deliverable(s): Snowflake pipelines

Description Are you passionate about next-generation data engineering, AI, and modern cloud technologies? Our company is seeking an innovative and driven Snowflake Solutions Engineer to join our IT team in a fully remote capacity. In this role, you will lead the design and implementation of advanced Snowflake-native applications and AI-powered data solutions, creating measurable business impact utilizing Snowflake's latest platform features. This is an exceptional opportunity to work at the fore