1. Experience

2. Technical Foundation

A solid technical foundation is essential for success in data engineering roles. Candidates should demonstrate the following core competencies:

Basic Knowledge
- SQL: Familiarity with writing queries, performing joins, and understanding basic optimization techniques.
- Relational databases: Understanding how relational databases function and their role in data management.
Core Concepts
- ETL / data pipelines: Knowledge of Extract, Transform, Load processes and the architecture of data pipelines.
- Data warehousing fundamentals: Awareness of data warehousing principles and their importance in storing and organizing large datasets.
Programming Skills
- Basic programming knowledge: Experience with Python or similar programming languages to support data engineering tasks.
Nice to Have
- Exposure to Cloud platforms (Azure / AWS) and Data tools (Airflow, dbt, Spark, etc.)
- Basic understanding of analytics or AI data requirements

3. Soft Skills

4. Education

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related fields