Information Technology
Full-Time
USEReady
Overview
Job Title: Data Engineer – Snowflake ,SQL & Python
About The Role
We are seeking a skilled and proactive Data Developer with 3-5 years of hands-on experience in Snowflake, Alteryx , and SQL, along with expertise in consuming REST APIs and working with modern ETL tools like Matillion, Fivetran etc. The ideal candidate will have a strong foundation in data modeling, data warehousing, and data profiling, and will play a key role in designing and implementing robust data solutions that drive business insights and innovation.
Required Skills And Qualifications
About The Role
We are seeking a skilled and proactive Data Developer with 3-5 years of hands-on experience in Snowflake, Alteryx , and SQL, along with expertise in consuming REST APIs and working with modern ETL tools like Matillion, Fivetran etc. The ideal candidate will have a strong foundation in data modeling, data warehousing, and data profiling, and will play a key role in designing and implementing robust data solutions that drive business insights and innovation.
Required Skills And Qualifications
- 3–5 years of professional experience in a data engineering or development role.
- Hands-on experience in migrating SQL Server/Oracle/legacy databases to Snowflake.
- Strong working knowledge of Snowflake, including data warehousing concepts, performance tuning, and data transformation.
- Expertise in Alteryx Designer for building and orchestrating ETL workflows targeting Snowflake.
- Advanced SQL development skills for writing complex queries, data extraction, transformation, and loading.
- Experience in data mapping, data validation, and data quality checks during migration.
- Knowledge of Snowflake stored procedures, tasks, and user-defined functions (UDFs).
- Familiarity with cloud-based environments (AWS, Azure, or GCP), particularly for Snowflake hosting and integration.
- Experience with data profiling tools to assess source data and ensure accurate migration.
- Understanding of API integration for automated data transfers or orchestration (if applicable).
- Familiarity with version control systems (e.g., Git) and CI/CD pipeline for data workflows.
- Experience working in cloud environments (AWS, Azure, or GCP).
- Knowledge of data governance and cataloging tools.
- Experience with agile methodologies and working in cross-functional teams.
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