Snowflake Data Architect
hace 7 días
Job Summary: We are seeking an experienced Snowflake Data Engineer to join our team at Qa Minds. As a key member of our data engineering team, you will design and implement large-scale data solutions on Snowflake Data Warehouse.
About the Role: In this role, you will be responsible for developing ETL pipelines in and out of Snowflake using Python and Snow SQL. You will also write SQL queries against Snowflake and develop scripts in Unix, Python, etc., to extract, load, and transform data. Additionally, you will work with AWS Redshift and provide production support for Data Warehouse issues such as data load problems and transformation translation problems.
Key Responsibilities:
- Designing and implementing large-scale data solutions on Snowflake Data Warehouse
- Developing ETL pipelines in and out of Snowflake using Python and Snow SQL
- Writing SQL queries against Snowflake
- Developing scripts in Unix, Python, etc., to extract, load, and transform data
- Working with AWS Redshift
- Providing production support for Data Warehouse issues such as data load problems and transformation translation problems
Requirements:
- Minimum 1 year of designing and implementing fully operational production-grade large-scale data solutions on Snowflake Data Warehouse
- 3 years of hands-on experience building productionized data ingestion and processing pipelines using Java, Spark, Scala, and Python
- 2 years of hands-on experience designing and implementing production-grade data warehousing solutions on large-scale data technologies such as Teradata, Oracle, or DB2
- Expertise and excellent understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologies
- Experience in building data ingestion pipelines using Talend and Informatica
- Experience in working with AWS, Azure, and Google data services
Salary Estimate: $140,000 - $170,000 per year, depending on location and experience
Benefits: Competitive salary, comprehensive health insurance, paid time off, and opportunities for professional growth and development
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