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Mid-level Data Engineer with common ETL/cloud stack (Snowflake, ADF) attracts many qualified applicants.
ETL, Snowflake and Azure skills are readily transferable across industries.
Explicit 3–5 year requirement plus mandatory Snowflake and ADF skills increases filter strictness.
Design, develop, and optimize ETL processes using tools like Azure Data Factory, Synapse, and Snowflake for efficient data extraction, transformation, and loading.
Collaborate with data architects and business analysts to ensure data accuracy, quality, and alignment with business requirements in reporting and analytics.
Monitor and troubleshoot ETL workflows, maintaining documentation and participating in data modeling and database design.
Bachelor’s degree in Computer Science, Information Technology, or related field.
3 to 5 years of experience as an ETL Developer or similar role.
Strong knowledge and hands-on experience with ETL tools: Azure Data Factory (ADF), Synapse, and mandatory Snowflake experience.
Proficiency in SQL; experience with data warehousing concepts; scripting knowledge (Python, Shell) is a plus.
Experienced in multi-cloud ETL environments, especially Azure Data Lake, Azure Blob Storage, and Snowflake with Snowpark.
Able to work across Agile development, support, and deployment landscapes, collaborating with technical and non-technical stakeholders.
Demonstrates problem-solving skills focused on maintaining performance and reliability of large-scale ETL workflows.