DATA ENGINEER

Job Description We are looking for a hands-on Snowflake Data Engineer to support the modernization of an enterprise data warehouse to a cloud-native analytics platform on AWS and Snowflake. ·You will be responsible for building scalable data pipelines, developing dimensional data models, and delivering reliable ELT solutions while working closely with architects, senior engineers, QA teams, cloud engineers, and business stakeholders. Key

• Design, develop, and maintain data pipelines and warehouse layers (RAW, ODS, DW) in Snowflake. · Build and support ELT/ETL pipelines using Snowflake features such as Snowpipe, Tasks, Streams, Stages, Storage Integrations, and Stored Procedures. · Develop dimensional data models including fact tables, dimension tables, aggregates, and lookup tables. · Write, optimize, and troubleshoot complex SQL queries for transformation, reconciliation, and performance tuning. · Implement data quality checks, validation, reconciliation, logging, and error-handling mechanisms. · Support rerun, recovery, and replay processes for failed data loads. · Integrate data securely using AWS services such as S3 and IAM. · Participate in SIT, UAT, deployment, documentation, and production support. · Collaborate with architects and engineering teams while following coding standards and best practices. · Contribute to code reviews and continuous improvement initiatives. Required Skills & Experience · 3+ years of experience in Data Engineering, Data War