Snowflake Data Engineer ( 5+ Yrs Exp. ) Must have Snowflake + SQL + ADF / DBT

Key Responsibilities Design, develop, and optimize data pipelines using Azure Data Factory (ADF) or DBT.Build and manage ELT workflows in Snowflake.Develop efficient and optimized SQL queries, stored procedures, and views.Create and maintain data transformation models using dbt.Implement incremental data loading, data validation, and data quality checks.Optimize Snowflake performance through clustering, partitioning, and query tuning.Collaborate with business analysts, data analysts, and developers to understand data requirements.Troubleshoot data pipeline failures and resolve performance issues.Maintain documentation for data architecture, pipelines, and transformation logic.Follow data governance, security, and best practices.Required Skills 48 years of experience in Data Engineering.Strong hands-on experience with Snowflake.Advanced proficiency in SQL.Experience with Azure Data Factory (ADF) or DBT.Hands-on experience with ADF or dbt (Data Build Tool).Knowledge of ETL/ELT concepts and data warehousing.Experience in performance tuning and query optimization.Familiarity with Git or other version control systems.Good analytical, problem-solving, and communication skills.Preferred Skills Experience with Azure Data Lake Storage (ADLS).Knowledge of Python or PySpark.Experience with Azure DevOps or CI/CD pipelines.Exposure to Power BI or Tableau.Understanding of Agile/Scrum methodologies.Educational Qualification Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.Must-Have Skills Snowflake SQL Azure Data Factory (ADF) / dbtGood-to-Have Skills Python/PySparkAzure Data Lake (ADLS)Power BI/TableauAzure DevOps / CI-CDGit .