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.