Experience Minimum 3‑5 years of experience in data engineering, data analytics, or related technical field, with demonstrated experience in designing and implementing data pipelines and analytics solutions.
Skills - Data Platform Technologies: Comprehensive understanding of modern data architecture patterns including Data Lake, Data Warehouse, Data Lakehouse, and Data Mesh concepts. Ability to evaluate and recommend appropriate architectural approaches based on business requirements and technical constraints.
- Technical Programming Skills: Proficient in Python programming language with experience in data manipulation libraries (pandas, numpy), data pipeline frameworks, and API development. Strong SQL skills for data querying, transformation, and database management across various database platforms.
- Data Engineering Practices: Solid foundation in data engineering principles including data ingestion, transformation, quality assurance, an...