Job Description

ETL Engineer

Job Description: We are currently seeking a highly skilled and experienced ETL engineer with a strong background in Snowflake. This is an onsite position, requiring a minimum of 3 days per week in the office. The ideal candidate will have extensive experience with MS SQL Server, T-SQL, Snowflake DB, and other related technologies. Experience with Azure Data Factory, Azure Databricks, and Python is also highly desirable.

Responsibilities:

• Designing, developing, and implementing ETL/ELT processes using Snowflake and other related technologies.
• Building and maintaining data pipelines to extract, transform, and load data from various sources into Snowflake.
• Writing efficient and optimized SQL queries, stored procedures, and T-SQL scripts for data manipulation and transformation.
• Ensuring data integrity and accuracy throughout the ETL process.

Requirements:

• Minimum of 8 years of experience working with MS SQL Server, including strong proficiency in T-SQL.
• At least 6 years of hands-on experience with Snowflake DB, including data modeling, performance tuning, and security.
• Proficiency in Azure Data Factory, with a minimum of 5 years of experience in designing and implementing data integration workflows.
• Familiarity with Azure Databricks, with a minimum of 4 years of experience using it for big data processing and analytics.
• Strong programming skills in Python, with a minimum of 5 years of experience in writing ETL/ELT processes using Python.
• Excellent understanding of ETL principles and best practices, with a minimum of 7 years of experience in ETL development.
• Solid knowledge of data warehousing concepts and dimensional modeling.
• Bachelor's degree in Computer Science, Information Systems, or a related field (preferred).

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