Data Engineer

**Role & responsibilities** ; } Job Description: Data Engineer (Python, AWS, ETL, PySpark) **Position:** Data Engineer **Experience:** 5-8 Years **Location:** Hyderabad **Employment Type:** Full-Time Job Summary We are seeking a skilled Data Engineer with strong expertise in **Python, AWS, ETL, and PySpark** to design, develop, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate should have hands-on experience in processing large datasets, building ETL workflows, and working with AWS data services. Key Responsibilities - Design, develop, and maintain scalable **ETL/ELT pipelines**. - Build and optimize data processing frameworks using **PySpark** and **Python**. - Develop and support data solutions on **AWS Cloud**. - Extract, transform, and load data from multiple sources into data warehouses/data lakes. - Perform data cleansing, transformation, and validation activities. - Optimize Spark jobs and ETL workflows for performance and scalability. - Collaborate with business stakeholders, analysts, and development teams to understand data requirements. - Implement data quality, monitoring, and governance standards.