Snowflake Developer
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Requirements
• 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 • Snowflake Engineering: Lead Data Engineer • Snowflake SQL and experience in building scalable data pipelines and integrations across cloud platforms. • Snowflake (including data warehousing concepts and performance tuning) • Snowflake SQL for data manipulation and analytics • Azure Services: ADF, Synapse, Purview, Fabric • AWS Services: Glue, Lambda, Step Functions • Workflow Orchestration: Airflow • 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. • Promoting Women professionals
Responsibilities
• Develop and maintain Snowflake databases for the company's big data needs. • Design efficient queries to extract meaningful insights from large datasets stored in Snowflake Cloud Databases. • Collaborate with other team members, including business analysts and IT professionals, on database design projects. • Monitor system performance and troubleshoot issues related to the databases or data warehousing solutions provided by Snowflake. • Stay updated with best practices in big data management and continuously improve existing systems as needed.