Auxo AI - Data Engineer - Snowflake

AuxoAI is seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 3-8 years of prior experience in data engineering, with a strong background in working on modern data platforms. This role offers an exciting opportunity to work on diverse projects, collaborating with cross-functional teams to design, build, and optimize data pipelines and : - Designing, building, and operating scalable on-premises or cloud data architecture - Analyzing business requirements and translating them into technical specifications - Design, develop, and implement data engineering solutions using DBT on cloud platforms (Snowflake, Databricks) - Design, develop, and maintain scalable data pipelines and ETL processes - Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives. - Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness - Implement data governance and security best practices to ensure compliance and data integrity - Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring - Stay abreast of emerging technologies and industry trends, recommending innovative solutions to enhance data engineering capabilities. Requirements : - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Overall 3+ years of prior experience in data engineering, with a focus on designing and building data pipelines - Experience of working with DBT to implement end-to-end data engineering processes on Snowflake and Databricks - Comprehensive understanding of the Snowflake and Databricks ecosystem - Strong programming skills in languages like SQL and Python or PySpark. - Experience with data modeling, ETL processes, and data warehousing concepts. - Familiarity with implementing CI/CD processes or other orchestration tools is a plus. (ref:hirist.tech) AuxoAI is seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 3-8 years of prior experience in data engineering, with a strong background in working on modern data platforms. This role offers an exciting opportunity to work on diverse projects, collaborating with cross-functional teams to design, build, and optimize data pipelines and : - Designing, building, and operating scalable on-premises or cloud data architecture - Analyzing business requirements and translating them into technical specifications - Design, develop, and implement data engineering solutions using DBT on cloud platforms (Snowflake, Databricks) - Design, develop, and maintain scalable data pipelines and ETL processes - Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives. - Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness - Implement data governance and security best practices to ensure compliance and data integrity - Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring - Stay abreast of emerging technologies and industry trends, recommending innovative solutions to enhance data engineering capabilities. Requirements : - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Overall 3+ years of prior experience in data engineering, with a focus on designing and building data pipelines - Experience of working with DBT to implement end-to-end data engineering processes on Snowflake and Databricks - Comprehensive understanding of the Snowflake and Databricks ecosystem - Strong programming skills in languages like SQL and Python or PySpark. - Experience with data modeling, ETL processes, and data warehousing concepts. - Familiarity with implementing CI/CD processes or other orchestration tools is a plus. (ref:hirist.tech)