We are seeking a highly skilled Data Engineer with strong experience in Python, PySpark, Snowflake, and AWS Glue to join our growing data team. You will be responsible for building scalable and reliable data pipelines that drive business insights and operational efficiency. This role requires a deep understanding of data modelling, ETL frameworks, and cloud-based data platforms. Responsibilities: Design, develop, and maintain scalable ETL/ELT pipelines using PySpark and AWS Glue. Build and optimize data models in Snowflake to support reporting, analytics, and machine learning workloads. Automate data ingestion from various sources including APIs, databases, and third-party platforms. Esure high data quality and implement data validation and monitoring processes. Collaborate with data analysts, data scientists, and other engineers to understand data requirements and deliver high-quality solutions. Work with large datasets in structured and semi-structured formats (JSON, Parquet, Avro, e...