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# Senior Azure Data Engineer

- **Company:** Tata Consultancy Services Limited
- **Location:** Eden Prairie, MN, United States
- **Experience:** Expert
- **Salary:** $110,000.0 - $120,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Big Data, Cloud Database, Continuous Integration, Data Governance, Extract Transform Load (ETL), Github, Python (Programming Language), Performance Tuning, Cloud Services, Azure Data Lake, SQL Databases, Azure Data Factory, Large Language Models, Software Security, Agentic-AI, Data Lakes, Pyspark, Kubernetes, Information Technology, Graphql, Claude, Data Pipelines, Databricks
- **Published:** October 18, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-azure-data-engineer-eden-prairie-mn--ccf1a0b7-e68b-4ee2-9897-e1df93b5680e

## About the Role

Required Skills: Artificial Intelligence | Azure

Qualification: BACHELOR OF COMPUTER SCIENCE

Experience: 6 - 10 Years, 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

Expertise in:

Azure Databricks, PySpark, Delta Lake

Azure Data Factory (ADF) and ADLS Gen2

Experience working on large-scale, cloud-native data platforms (Azure preferred)

Exposure to AI/LLM or agentic frameworks (Databricks AI/ML, Codex, Claude, etc.)

Strong experience building REST or GraphQL APIs

Experience with Kubernetes (AKS preferred) for API deployment

Understanding of API security, contracts, error handling, and performance

Strong understanding of data governance, security, and CI/CD practicesPrimary skill for the API Role with AI Builder

## Description

Role: EngineerRequired Skills: Artificial Intelligence | AzureQualification: BACHELOR OF COMPUTER SCIENCEExperience: 6 - 10 YearsFunction: TECHNOLOGYApply By: 2026-11-28We 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 stakeholdersExpertise in:Azure Databricks, PySpark, Delta LakeAzure Data Factory (ADF) and ADLS Gen2Experience working on large-scale, cloud-native data platforms (Azure preferred)Exposure to AI/LLM or agentic frameworks (Databricks AI/ML, Codex, Claude, etc.)Strong experience building REST or GraphQL APIsExperience with Kubernetes (AKS preferred) for API deploymentUnderstanding of API security, contracts, error handling, and performanceStrong understanding of data governance, security, and CI/CD practicesPrimary skill for the API Role with AI BuilderSalary Range: $110,000-$120,000 a yearTCS Employee Benefits Summary:Discretionary Annual Incentive.Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.Family Support: Maternal & Parental Leaves.Insurance Options: Auto & Home Insurance, Identity Theft Protection.Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.Time Off: Vacation, Time Off, Sick Leave & Holidays.Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.#LI-SP1