Key Responsibilities:

1. Design & build scalable data pipelines for analytics & reporting

2. Integrate data from various sources into data lakes & warehouses

3. Develop ETL/ELT pipelines using Azure Data Factory, Databricks, Snowflake, & Azure SQL Server

4. Collaborate with data scientists & analysts to enable ML use cases

5. Design & optimize DBT models for scalable data transformations

6. Implement data governance, security, & compliance practices

Technical Skills:

- 7+ years of data engineering experience

- Python, SQL, Spark

- Azure, Snowflake, DBT, Erwin Data Modeler

- Cloud platforms (AWS, Azure) & containerization (Docker, Kubernetes)

- CI/CD tools (GitHub Actions, GitLab, Jenkins)

Experience:

- 5+ years of experience in ML Lifecycle using Azure services

- 5+ years of experience in data engineering using Snowflake

- Experience with streaming & batch inferencing

Soft Skills:

- Strong communication & problem-solving skills

- Stakeholder engagement & agile delivery

- Agile/Scrum experience using Azure DevOps

Senior Data Engineer - IRIS*_100% Remote