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Data Engineer
Amadora
Job description
Keys focus on
• Implementing ETL processes for complete data integration, primarily focusing on Snowflake data.
• Implementing data models for reporting and data analysis
• Building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using AWS ‘big data’ technologies.
• Working with data and analytics experts to design appropriate solutions for data analysis use cases.
• Implementing ETL processes for complete data integration, primarily focusing on Snowflake data.
• Implementing data models for reporting and data analysis
• Building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using AWS ‘big data’ technologies.
• Working with data and analytics experts to design appropriate solutions for data analysis use cases.
Requirements
• Solid skills with Python for ETL (especially PySpark)
• Experience working with Snowflake as a NoSQL data system.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases and NoSQL database (Snowflake).
• Experience with cloud environments.
• Experience building and optimizing ‘big data’ data pipelines
• Strong analytic skills related to working with unstructured datasets.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Experience working with Snowflake as a NoSQL data system.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases and NoSQL database (Snowflake).
• Experience with cloud environments.
• Experience building and optimizing ‘big data’ data pipelines
• Strong analytic skills related to working with unstructured datasets.
• Experience supporting and working with cross-functional teams in a dynamic environment.
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