Data Engineer

4+ years of experience as a Data Engineer or similar role.Proficiency in Python, PySpark, and advanced SQL.Hands-on experience with big data tools and frameworks (e.g., Spark, Hive).Experience with cloud data platforms like AWS, Azure, or GCP is a plus.Solid understanding of data modeling, warehousing, and ETL processes.Strong problem-solving and analytical skills.Good communication and teamwork abilities.Design, build, and maintain data pipelines that collect, process, and store data from various sources. Integrate data from multiple heterogeneous sources such as databases (SQL/NoSQL), APIs, cloud storage, and flat files. Optimize data processing tasks to improve execution efficiency, reduce costs, and minimize processing times, especially when working with large-scale datasets in Spark. Design and implement data warehousing solutions that centralize data from multiple sources for analysis.