
Senior Data Engineer
17 hours ago
Job Overview
We are seeking an experienced Data Engineering Leader to design and implement scalable data pipelines. You will work closely with clients to translate business needs into robust data solutions.
- Data Pipeline Architecture: Develop modular, test-driven ELT pipelines using dbt on Snowflake.
- Data Modeling: Design layered data models (staging, intermediate, mart layers / medallion architecture) aligned with dbt best practices.
- Data Ingestion: Ingest structured and semi-structured data from APIs, flat files, cloud storage (Azure Data Lake, AWS S3), and databases into Snowflake.
- Performance Optimization: Optimize Snowflake for performance and cost: warehouse sizing, clustering, materializations, query profiling, and credit monitoring.
- dbt Expertise: Apply advanced dbt capabilities including macros, packages, custom tests, sources, exposures, and documentation using dbt docs.
- Workflow Management: Orchestrate workflows using dbt Cloud, Airflow, or Azure Data Factory, integrated with CI/CD pipelines.
- Data Governance: Define and enforce data governance and compliance practices using Snowflake RBAC, secure data sharing, and encryption strategies.
- Collaboration: Collaborate with analysts, data scientists, architects, and business stakeholders to deliver validated, business-ready data assets.
- Mentorship: Mentor junior engineers, lead architectural/code reviews, and help establish reusable frameworks and standards.
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