Data Engineer

Required Skills & Experience
Around 5 years of professional experience in Data Engineering, Python development, or a related role.
Strong hands-on expertise in Python, particularly for:
Data wrangling and transformation
ETL/ELT development
File and data processing
Automation and scripting
Data validation and cleansing
Strong knowledge of at least one relational SQL database such as:
PostgreSQL
MySQL
Oracle
SQL Server
Strong understanding of SQL, including joins, subqueries, CTEs, window functions, aggregations, and query optimization.
Practical experience with AWS cloud services used in data engineering.
Experience developing RESTful APIs using FastAPI.
Good understanding of API concepts including HTTP methods, request/response handling, authentication, status codes, error handling, and API integration.
Experience with Git/version control and standard software development practices.
Good understanding of data engineering concepts, including data pipelines, ETL architecture, data quality, and data integration.