Senior Data Engineer

Job Title: Senior Data Engineer Location: Remote (US) Salary 125K-155K + 12% bonus Experience- 5-8 years No. of open roles 1 Responsibilities: - Design and build robust, scalable data transformation pipelines using SQL, DBT, and Jinja templating - Develop and maintain data architecture and standards for Data Integration and Data Warehousing projects using DBT and Amazon Redshift - Collaborate with cross-functional teams to gather requirements and deliver dimensional data models that serve as a single source of truth - Own the full stack of data modeling in DBT to empower analysts, data scientists, and BI engineers - Enhance and maintain the analytics codebase, including DBT models, SQL scripts, and ERD documentation - Ensure data quality, governance alignment, and operational readiness of data pipelines - Apply software engineering best practices such as version control, CI/CD, and code reviews - Optimize SQL queries for performance, scalability, and maintainability across large datasets - Implement best practices for SQL performance tuning, including partitioning, clustering, and materialized views - Build and manage infrastructure as code using AWS CDK for scalable and repeatable deployments. Integrate and automate deployment workflows using AWS CodeCommit, CodePipeline, and related DevOps tools - Support Agile development processes and collaborate with offshore teams Required Qualifications: - Bachelors or Masters (preferred) degree in a quantitative or technical field such as Statistics, Mathematics, Computer Science, Information Technology, Computer Engineering or equivalent - 5+ years of experience in data engineering and analytics on modern data platforms - 3+ years extensive experience with DBT or similar data transformation tools, including building complex & maintainable DBT models and developing DBT packages/macros - Deep familiarity with dimensional modeling/data warehousing concepts and expertise in designing, implementing, operating, and extending enterprise dimensional models - Understand change data capture concepts - Experience working with AWS Services (Lambda, Step Functions, MWAA, Glue, Redshift) - Hands-on experience with AWS CDK, CodeCommit, and CodePipeline for infrastructure automation and CI/CD - Python proficiency or general knowledge of Jinja templating in Python and/or PySpark - Agile experience and willingness to work with extended offshore teams and assist with design and code reviews with customer - A great teammate and self-starter, strong detail orientation is critical in this role. Originally posted on Himalayas