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Niche Snowflake/DBT skills reduce applicant pool, but metro Noida increases competition.
Role requires platform-specific Snowflake and DBT expertise, limiting cross-industry portability.
Explicit 6-8 years and mandatory Snowflake, DBT, ADF and CI/CD expertise make screening highly stringent.
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Own design, development, and administration of enterprise-scale Snowflake-based production data warehouses with focus on performance optimization.
Lead data transformation, modeling, testing, and deployment using DBT and ELT/ETL development in cloud environments.
Integrate and automate Snowflake workflows with Azure Data Factory, Azure Data Lake Storage, GitLab CI/CD pipelines, and implement data quality controls and monitoring solutions.
6-8 years of experience in Data Engineering, Data Warehousing, or Cloud Data Platforms with hands-on Snowflake expertise.
Bachelor's or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field.
Expert-level SQL development and query optimization skills and strong understanding of data warehousing concepts.
Location requirement: Must be based in Noida.
Deep expertise in Snowflake architecture, performance tuning, and administration, plus advanced skills in DBT for data transformation and deployment.
Proven experience with integrating Snowflake into Azure cloud stack (ADF, ADLS) and implementing automated CI/CD pipelines.
Experienced in Agile delivery with capabilities in code reviews, performance tuning, production support, and enforcing data quality and monitoring frameworks.