Data platform Development Engineer

JD

• Mandatory 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.