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Moderate competition due to common Data Engineer title but niche Azure+Snowflake+DBT requirement.
Medium—Azure and Snowflake skills transfer across industries but require specific cloud-data tooling expertise.
High due to explicit 8+ years and mandatory Azure, ADF, Snowflake, and DBT skills.
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Design, develop, and optimize ETL/ELT data pipelines using Azure Data Factory, Snowflake, and DBT.
Build and maintain data integration workflows from various sources into Snowflake with performance monitoring and troubleshooting.
Translate business requirements into technical solutions while maintaining data quality, governance, and documentation standards.
8+ years of data engineering experience specifically using Azure Cloud Platform and Snowflake.
Proficiency in Azure Data Factory for pipeline orchestration and automation.
Strong SQL skills for data extraction and transformation.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field.
Experienced working in cloud-native data environments handling large-scale datasets.
Demonstrated ability to collaborate cross-functionally with data analysts, architects, and DevOps teams.
Capable of managing and optimizing complex data workflows with strong problem-solving skills.