Sr Data Engineer

Overview In this role you will design and build scalable data pipelines to enable data-driven decision making for clients. You will operate within a data engineering team that supports cloud-based big data solutions, primarily on AWS, leveraging Spark and Python to process storage formats at scale. The position emphasizes collaboration with DevOps practices to ensure reliable, repeatable data workflows. This is an opportunity to contribute to transformative data initiatives within a global services leader. ResponsibilitiesCreate and maintain data pipelines to ingest, process, and transform large datasetsCollaborate with cross-functional teams to implement data solutions in a DevOps-enabled environmentLeverage Spark and Python to process data across diverse storage formatsSupport cloud-based data infrastructure on AWS and related toolingEnsure reliability, scalability, and performance of data pipelinesContribute to data quality, monitoring, and governance initiatives Key requirementsMin. 5 years experience in Big Data, Cloud (AWS), Spark, Storage Formats, PythonExperience creating Data PipelinesExperience in DevOps environmentsBig DataAWSSparkStorage FormatsPythonData Pipelines