Data platform Development Engineer

Job DescriptionMandatory Snowflake Expertise: Proven experience implementing and managing data solutions within the Snowflake ecosystem.Data Pipelines: Experience building data pipelines.Data Analysis: Strong understanding of data analysis techniques for validation requirements.Advanced SQL: Complex querying, data manipulation, and performance tuning across Snowflake and SQL Server environments.Data Engineering Fundamentals: Solid understanding of data engineering principles, data modeling, ETL/ELT methodologies, and data pipeline orchestration.Snowflake Features: Familiarity with Copy, Stored Procedures, and Views.Python: Basic proficiency for data processing, scripting, and automation.DevOps: Experience deploying applications using Bit/Git version control, CGW server, Kafka, MySQL, AWS, and cloud hosting platforms.Soft Skills: A positive attitude and eagerness to learn emerging technologies.Good to Have: Experience with Snowflake Cortex workloads is a significant advantage.