Gather and analyze user requirements and prepare functional and technical documentation; design and maintain data pipelines using Python, SQL, and ETL processes, integrating data across enterprise systems such as SAP and Workday. Perform data analysis, reporting, and statistical modeling to support business intelligence, and work with big data frameworks including Hadoop, PySpark, and Databricks. Develop cloud-based data solutions on AWS or GCP using tools such as Kubernetes and Terraform, and modern data platforms and tools such as Qlik Open Lakehouse, LakeFS, Kestra, Estuary Flow, Datafold, and MotherDuck, while ensuring data validation, quality, and governance. Support CI/CD processes in Agile environments, contribute to AI/ML solutions including NLP and generative AI, and provide testing, documentation, and post-production support. Requires a Masters degree Computer Science/Data Analytics/ Engineering (any), C.I.S. or equivalent, plus one year of experience. The employee's relocation is contingent on client needs. The frequency of the relocation as well is unknown, and it purely depends on the client's requirements. There is no National or International Travel involved in this position.