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About the role
As a Snowflake & DBT Data Engineer at our company, you will play a crucial role in building scalable cloud-based data warehouse and ELT solutions. Your expertise in Snowflake and DBT will be pivotal in ensuring the success of our data engineering initiatives. Key Responsibilities: - Develop and maintain scalable data pipelines - Build DBT models and transformation workflows - Optimize Snowflake performance - Work closely with business and analytics teams - Ensure data quality and governance Qualifications Required: - Strong hands-on experience in Snowflake - Strong DBT (Data Build Tool) experience - Advanced SQL knowledge - ETL/ELT pipeline development - Data Warehousing & Data Modeling concepts - Performance tuning and optimization In addition, it would be beneficial if you have experience with the following: - Apache Airflow - Azure Data Factory (ADF) - AWS/Azure Cloud - CI/CD & Git - Snowpipe, Streams & Tasks Join us in Hyderabad and bring your 5-7 years of experience to drive our data engineering projects to success. As a Snowflake & DBT Data Engineer at our company, you will play a crucial role in building scalable cloud-based data warehouse and ELT solutions. Your expertise in Snowflake and DBT will be pivotal in ensuring the success of our data engineering initiatives. Key Responsibilities: - Develop and maintain scalable data pipelines - Build DBT models and transformation workflows - Optimize Snowflake performance - Work closely with business and analytics teams - Ensure data quality and governance Qualifications Required: - Strong hands-on experience in Snowflake - Strong DBT (Data Build Tool) experience - Advanced SQL knowledge - ETL/ELT pipeline development - Data Warehousing & Data Modeling concepts - Performance tuning and optimization In addition, it would be beneficial if you have experience with the following: - Apache Airflow - Azure Data Factory (ADF) - AWS/Azure Cloud - CI/CD & Git - Snowpipe, Streams & Tasks Join us in Hyderabad and bring your 5-7 years of experience to drive our data engineering projects to success.
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