Overview
6+ years of experience in data engineering or a related field.
&
Strong expertise in Snowflake including schema design, performance tuning, and security.
Data QA
Proficiency in Python for data manipulation and automation.
Solid understanding of data modeling concepts (star/snowflake schema, normalization, etc.).
Experience with DBT for data transformation and documentation.
Hands-on experience with ETL/ELT tools and orchestration frameworks (e.g., Airflow, Prefect).
Strong SQL Skills And Experience With Large-scale Data Sets.
Familiarity with cloud platforms (AWS, Azure, or GCP) and data services.
&
Strong expertise in Snowflake including schema design, performance tuning, and security.
Data QA
Proficiency in Python for data manipulation and automation.
Solid understanding of data modeling concepts (star/snowflake schema, normalization, etc.).
Experience with DBT for data transformation and documentation.
Hands-on experience with ETL/ELT tools and orchestration frameworks (e.g., Airflow, Prefect).
Strong SQL Skills And Experience With Large-scale Data Sets.
Familiarity with cloud platforms (AWS, Azure, or GCP) and data services.
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