Must-Have Experience
- 8 to 15+ years of experience in data architecture, data engineering, integration, analytics, or cloud data platforms.
- Strong hands-on SQL and data engineering experience.
- Hands on experience with Snowflake, Databricks, Spark, dbt, Python, AWS, Azure, Google Cloud Platform, or similar technologies.
- Strong understanding of data warehousing, data lake, lakehouse, and modern cloud data architecture.
- Experience designing production pipelines using ETL, ELT, CDC, APIs, orchestration, and batch processing.
- Strong data modeling skills, including canonical, logical, physical, and dimensional modeling.
IR35 Status:
Not specified
Industry:
Data & Analytics