Title- Data Engineer Location- Reading, PA, Onsite As a Senior Data Engineer, you will design, build, and maintain end-to-end data pipelines leveraging Talend Cloud (8.0), PySpark, and AWS services. You will play a key role in ingesting, transforming, and optimizing large-scale structured and unstructured datasets while ensuring scalability, performance, and data quality across the platform. Key responsibilities include: • Designing and developing ETL/ELT workflows using Talend 8.0 on Cloud • Integrating data from APIs, flat files, and streaming sources • Ingesting and managing data in AWS S3–based data lakes • Developing PySpark jobs for large-scale data processing and transformations • Implementing Spark SQL for complex transformations and schema management • Building and supporting cloud-native data pipelines using AWS services such as Glue, Lambda, Athena, and EMR • Applying performance tuning and optimization techniques for Spark workloads
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