Jobs → Data & Analytics → Senior Data Engineer

About the Role We are looking for an experienced Senior Data Engineer with 10+ years of data engineering experience to join the EDH team. This role will serve as a technical resource responsible for designing, developing, supporting, and enhancing modern data pipelines built using AWS, Snowflake, and DBT. Key Responsibilities • Design, develop, and support enterprise data pipelines using AWS, Snowflake, and DBT • Develop and enhance metadata-driven data ingestion and transformation frameworks • Work with AWS services to build scalable data ingestion solutions • Implement enterprise-scale solutions using Snowflake, including database design, data loading, data transformation, security, performance optimization, and operational support • Build dimensional models, star schema, snowflake schema, fact and dimension tables, and data structures optimized for analytics and reporting • Develop DBT models, macros, tests, and deployment configurations • Troubleshoot and debug data pipeline issues across AWS, Snowflake, dbt, and PySpark, perform root cause analysis, and implement solutions • Support EDH production deployments, monitoring, and issue resolution • Collaborate with offshore engineering teams and provide technical guidance and code reviews • Participate in architecture discussions and recommend improvements to platform design • Work with DevOps teams on CI/CD processes, Git-based development, deployment automation, and release management • Implement data quality checks, validation frameworks, logging, and operational monitoring Requirements • 10+ years of data engineering experience • Strong hands-on data engineering experience with AWS data services • Strong hands-on experience with Snowflake architecture, development, and designing data warehouse solutions using Snowflake • Strong hands-on experience with DBT development • Experience developing PySpark applications for data ingestion and cleansing • Experience with deployment automation, release management, and environment promotion processes • Experience designing dimensional data models (Facts, Dimensions), transformation, and optimization in cloud-based data platforms • Strong SQL skills including complex queries, performance tuning, and optimization