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hace 2 meses
As a Snowflake Data Engineer at QA Minds, you will be responsible for designing and implementing large-scale data solutions on Snowflake Data Warehouse. This includes:
- Developing ETL pipelines in and out of data warehouse using a combination of Python and Snowflake's Snow SQL.
- Writing SQL queries against Snowflake.
- Developing scripts in Unix, Python, etc. to do Extract, Load and Transform data.
- Working knowledge of AWS Redshift.
- Providing production support for Data Warehouse issues such as data load problems and transformation translation problems.
- Translating requirements for BI and Reporting to Database design and reporting design.
- Understanding data transformation and translation requirements and which tools to leverage to get the job done.
- Understanding data pipelines and modern ways of automating data pipelines using cloud-based solutions.
- Testing and clearly documenting implementations, so others can easily understand the requirements, implementation, and test conditions.
To be successful in this role, you will need:
- Minimum 1 year of experience designing and implementing a fully operational production-grade large-scale data solution on Snowflake Data Warehouse.
- 3 years of hands-on experience with building productionized data ingestion and processing pipelines using Java, Spark, Scala, 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, Informatica.
- Experience in working with AWS, Azure, and Google data services.
At QA Minds, we offer a dynamic and challenging work environment that allows you to grow and develop your skills. We are committed to providing our employees with the tools and resources they need to succeed.