Data Engineer

As a highly skilled Data Engineer, you will be responsible for designing, building, and optimizing scalable data pipelines that empower analytics and business decision-making. Your role will demand strong hands-on expertise in modern cloud data platforms, transformation frameworks, and enterprise-grade data governance practices. **Key Responsibilities:** - Design, develop, and maintain cloud-native data pipelines using Snowflake and SQL. - Implement end-to-end data ingestion (ETL/ELT) frameworks from multiple source systems. - Apply data warehousing best practices, including Slowly Changing Dimensions (SCDs). - Build and manage transformation layers using dbt (Data Build Tool). - Operationalize Medallion Architecture (Bronze, Silver, Gold layers). - Ensure version control, CI/CD, and deployment governance across Dev, Stage, and Production using GitHub and pull-request workflows. - Perform SQL performance tuning, query optimization, and root-cause analysis for data issues. - Troubleshoot and resolve data quality, pipeline failures, and technical defects. - Conduct technical sprint demos showcasing completed deliverables to stakeholders. - Collaborate cross-functionally with analytics, platform, and business teams to deliver reliable data products. **Qualifications Required:** - Strong hands-on experience with Snowflake. - Advanced proficiency in SQL. - Solid understanding of data warehousing concepts and dimensional modeling. - Experience with SCD implementation. - Proven expertise in ETL/ELT data acquisition pipelines. - Hands-on experience with dbt for transformations. - Working knowledge of GitHub, pull requests, and controlled deployment practices. - Experience with production support, issue resolution, and performance optimization. - Excellent communication and stakeholder interaction skills. The above description provides a comprehensive overview of the responsibilities and qualifications required for the Data Engineer position. As a highly skilled Data Engineer, you will be responsible for designing, building, and optimizing scalable data pipelines that empower analytics and business decision-making. Your role will demand strong hands-on expertise in modern cloud data platforms, transformation frameworks, and enterprise-grade data governance practices. **Key Responsibilities:** - Design, develop, and maintain cloud-native data pipelines using Snowflake and SQL. - Implement end-to-end data ingestion (ETL/ELT) frameworks from multiple source systems. - Apply data warehousing best practices, including Slowly Changing Dimensions (SCDs). - Build and manage transformation layers using dbt (Data Build Tool). - Operationalize Medallion Architecture (Bronze, Silver, Gold layers). - Ensure version control, CI/CD, and deployment governance across Dev, Stage, and Production using GitHub and pull-request workflows. - Perform SQL performance tuning, query optimization, and root-cause analysis for data issues. - Troubleshoot and resolve data quality, pipeline failures, and technical defects. - Conduct technical sprint demos showcasing completed deliverables to stakeholders. - Collaborate cross-functionally with analytics, platform, and business teams to deliver reliable data products. **Qualifications Required:** - Strong hands-on experience with Snowflake. - Advanced proficiency in SQL. - Solid understanding of data warehousing concepts and dimensional modeling. - Experience with SCD implementation. - Proven expertise in ETL/ELT data acquisition pipelines. - Hands-on experience with dbt for transformations. - Working knowledge of GitHub, pull requests, and controlled deployment practices. - Experience with production support, issue resolution, and performance optimization. - Excellent communication and stakeholder interaction skills. The above description provides a comprehensive overview of the responsibilities and qualifications required for the Data Engineer position.