DataStream, ETL Fundamentals, SQL, SQL (Basic + Advanced), Python, Data Warehousing, Time Travel and Fail Safe, Snowpipe, SnowSQL, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures
Specialization
Snowflake Engineering: Lead Data Engineer
Job requirements
Role Overview:
We are looking for an experienced Snowflake Developer to design, develop, and optimize data solutions using Snowflake. The ideal candidate will have strong expertise in
Snowflake SQL and experience in building scalable data pipelines and integrations across cloud platforms.
Key Responsibilities:
• Design and implement data models, ETL/ELT processes, and data pipelines using Snowflake.
• Develop and optimize Snowflake SQL queries for data transformation and analytics.
• Collaborate with data engineers, analysts, and business teams to deliver highquality data solutions.
• Ensure data security, governance, and compliance across all processes.
• Troubleshoot and optimize performance for Snowflake workloads.
Primary Skills (Must-Have):
• Snowflake (including data warehousing concepts and performance tuning)
• Snowflake SQL for data manipulation and analytics
Good-to-Have Skills:
• Azure Services: ADF, Synapse, Purview, Fabric
• AWS Services: Glue, Lambda, Step Functions
• Workflow Orchestration: Airflow
Qualifications:
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
• Proven experience in Snowflake development and data engineering.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
