We are looking for a Data Engineer- Mid to design, build, and maintain scalable data pipelines and workflows, ensuring high data quality and seamless collaboration with cross-functional teams. Requirements 1 to 3 years of experience in data engineering or related roles Strong experience in Python (Pandas, SQLAlchemy, Airflow operators, etc.) Intermediate to advanced proficiency in SQL Hands-on experience with ETL/ELT processes Familiarity with orchestration tools like Airflow or Prefect Experience in managing and optimising data workflows from ingestion to transformation Ability to build reusable data processing scripts for validation, enrichment, and formatting Knowledge of data quality and integrity practices through validation frameworks or custom logic Experience working with data warehouses such as PostgreSQL, Redshift, or BigQuery Ability to develop and maintain data models and materialised views Experience implementing automation for recurring data tasks, error logging, and aler...