Data Engineer IV

As a Data Engineer at Numeric Tech, you will play a crucial role in developing and maintaining data pipelines for ingestion, transformation, and loading of data from multiple sources. Your expertise in SQL, Python, and DBT will be essential in building and optimizing data models and transformation layers. You will work extensively with Snowflake and support AWS-based data architecture, ensuring data quality, validation, and reliability through monitoring and testing frameworks. Collaboration with BI and Analytics teams to deliver analytics-ready datasets will be a key responsibility. Additionally, troubleshooting data issues, supporting ad-hoc data requests, and following best practices for version control, documentation, and deployment are integral parts of your role. Key Responsibilities: - Develop and maintain data pipelines using SQL, Python, and DBT - Build and optimize data models in DBT - Work with Snowflake and support AWS-based data architecture - Implement workflow orchestration using Airflow - Enhance existing ETL/ELT workflows for performance and scalability - Ensure data quality through monitoring and testing - Collaborate with BI and Analytics teams - Troubleshoot data issues and support ad-hoc requests - Follow best practices for version control, documentation, and deployment Qualifications Required: - 710 years of experience in Data Engineering/Analytics Engineering - Strong expertise in Snowflake, DBT, SQL (advanced), and Python - Experience with AWS services and workflow orchestration tools - Understanding of data warehousing, ETL/ELT, and data modeling concepts - Working knowledge of Power BI and Git/version control systems If you are keen to explore this opportunity, please share your resume with us at shalu.kumari@numerictech.com. As a Data Engineer at Numeric Tech, you will play a crucial role in developing and maintaining data pipelines for ingestion, transformation, and loading of data from multiple sources. Your expertise in SQL, Python, and DBT will be essential in building and optimizing data models and transformation layers. You will work extensively with Snowflake and support AWS-based data architecture, ensuring data quality, validation, and reliability through monitoring and testing frameworks. Collaboration with BI and Analytics teams to deliver analytics-ready datasets will be a key responsibility. Additionally, troubleshooting data issues, supporting ad-hoc data requests, and following best practices for version control, documentation, and deployment are integral parts of your role. Key Responsibilities: - Develop and maintain data pipelines using SQL, Python, and DBT - Build and optimize data models in DBT - Work with Snowflake and support AWS-based data architecture - Implement workflow orchestration using Airflow - Enhance existing ETL/ELT workflows for performance and scalability - Ensure data quality through monitoring and testing - Collaborate with BI and Analytics teams - Troubleshoot data issues and support ad-hoc requests - Follow best practices for version control, documentation, and deployment Qualifications Required: - 710 years of experience in Data Engineering/Analytics Engineering - Strong expertise in Snowflake, DBT, SQL (advanced), and Python - Experience with AWS services and workflow orchestration tools - Understanding of data warehousing, ETL/ELT, and data modeling concepts - Working knowledge of Power BI and Git/version control systems If you are keen to explore this opportunity, please share your resume with us at shalu.kumari@numerictech.com.