Role Summary
We are seeking a highly skilled Senior Data Engineer with expertise in Fivetran, Snowflake, Dbt, AWS Glue, Python, SQL, and cloud-native data engineering. The ideal candidate will be responsible for building scalable data ingestion and transformation frameworks, enabling analytics, data products, and AI-driven initiatives across the enterprise.
7-10 years of overall experience in Data Engineering and Data Integration.
Key Responsibilities
- Design, develop, and maintain enterprise-scale data pipelines in Snowflake.
- Implement and manage data ingestion frameworks using Fivetran.
- Develop ETL/ELT workflows using Dbt, AWS Glue and PySpark.
- Build and optimize data lake solutions on AWS/Snowflake.
- Perform source-to-target mapping and support data migration initiatives.
- Implement data quality, validation, reconciliation, and monitoring frameworks.
- Develop reusable pipeline patterns and automation frameworks.
- Collaborate with architects, business stakeholders, and analytics teams to deliver trusted data products.
- Support AI and GenAI use cases by preparing and managing high-quality datasets.
- Follow DataOps, CI/CD, governance, and security best practices.
Required Technical Skills
Core Technologies
- Snowflake
- Fivetran
- Dbt
- AWS Glue
- Python
- SQL
- PySpark
Data Engineering
- ETL / ELT Development
- Data Warehousing
- Data Lake Architecture
- Source-to-Target Mapping
- Data Quality Frameworks
- Pipeline Automation
- Performance Optimization
DevOps / DataOps
- Git
- CI/CD Pipelines
- Agile Delivery
- Infrastructure Automation
Salary Range: $110,000 to $130,000 per year