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Tata Consultancy Services is seeking a Data Engineer in the US (Eden Prairie) to design, build and optimize cloud-based data pipelines on Azure with Delta Lake and Databricks. You will own end-to-end solution delivery, leverage PySpark, Python, SQL, and CI/CD, and collaborate with cross-functional teams on enterprise-scale data platforms.
The role emphasizes API deployment with Kubernetes AKS, data governance, and security practices, while contributing to data modeling and performance tuning.
We are seeking a Data Engineer with strong hands‑on experience in Azure Cloud, Azure Databricks, PySpark, Azure Data Factory (ADF), Delta Lake, and Unity Catalog. The ideal candidate will be responsible for designing, developing, and optimizing scalable data pipelines and cloud-based data solutions, with expertise in ETL/ELT processing, data modeling, performance tuning, and data governance. The role requires proficiency in Python, SQL, GitHub, and CI/CD practices, along with experience working with large‑scale datasets in enterprise environments. This is an individual contributor role that demands strong analytical and problem‑solving skills, the ability to work independently, and ownership of end‑to‑end solution delivery while collaborating effectively with cross‑functional teams and business stakeholders
Salary Range: $110,000-$120,000 a year
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