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Job Description
Structured overview of role & requirementsAbout This Role
Design and develop ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT.
Build and maintain data integration workflows from various sources to Snowflake with optimized SQL queries.
Monitor, troubleshoot, and optimize data pipelines ensuring data quality, governance, and documentation standards.
Minimum Requirements
8+ years of experience in data engineering roles specifically using Azure and Snowflake.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field.
Strong proficiency with Azure Cloud Platform services, especially Azure Data Factory (ADF).
Mandatory expertise in SQL for data extraction and transformation.
Ideal Candidate Profile
Experienced with large-scale cloud-based data environments and capable of collaborating with data analysts, architects, and DevOps teams.
Skilled in converting business requirements into scalable technical solutions with focus on pipeline performance and reliability.
Proficient in maintaining data quality and governance within cloud-native infrastructure.