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Senior Data Engineer
1 month ago
CloudBC Labs is seeking a highly skilled Senior Data Engineer to lead the design, implementation, and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse. The ideal candidate will have a strong background in data warehousing, data modeling, and data engineering, with a focus on cloud-based technologies.
Key Responsibilities:
Provide architecture, design, and implementation of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse
Develop and maintain data pipelines and modern ways of automating data pipeline using cloud-based testing and clearly document implementations
Perform code reviews to ensure fit to requirements, optimal execution patterns, and adherence to established standards
Develop EL pipelines in and out of data warehouse using combination of Databricks, Python, and Snow SQL
Provide data ingestion and processing pipelines using Python, Databricks, Snow SQL
Establish and monitor Operational Level Agreements for the health and performance/cost of the warehouse environment (Loads, queries, data quality)
Requirements:
Overall 10+ years of experience in data engineering and data warehousing
Minimum 3 years of experience in design and implementation of large-scale data solutions on Azure Snowflake Data Warehouse
Hands-on experience with Snowflake utilities such as Snow SQL, Snow Pipe, Python, Tasks, Streams, Time travel, Optimizer, Metadata Manager, data sharing, and stored procedures
Good experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling
Good knowledge of MS Azure configuration items with respect to Snowflake
Experience in writing scripts (UNIX, Python)
Excellent understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologies
Good to Have:
Experience in Finance / Banking industry - some understanding of Securities and Banking products