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Über
City: Minneapolis
State/Province: Minnesota
Posting Start Date: 5/21/26
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Job Description:
Job Description
Role: Azure Data Engineer Location: Dallas, TX or Charlotte, NC (3 Days Onsite/week)
Job Description: Role Overview We are looking for a Data Engineer with strong experience in Azure and Apache Spark to design and build scalable, high-performance data solutions. The ideal candidate will work on modern cloud data platforms, ensuring reliable data pipelines and supporting analytics and business intelligence needs. Familiarity with Databricks and Collibra will be an added advantage.
Key Responsibilities Design, develop, and maintain scalable data pipelines using Azure services Build and optimize Spark-based data processing applications Implement ETL/ELT workflows for batch and real-time data processing Work with Azure Data Factory (ADF) or similar tools for orchestration Store and manage data in Azure Data Lake (ADLS) or cloud storage systems Perform data transformation, cleansing, and validation Ensure data quality, governance, and security compliance Collaborate with analysts, data scientists, and business stakeholders Monitor, debug, and optimize data workflows
Required Skills & Qualifications Technical Skills Strong hands-on experience with Microsoft Azure (ADF, ADLS, Synapse or similar) Solid experience in Apache Spark (PySpark preferred) Proficiency in Python and SQL Experience in designing data pipelines and data models Good understanding of data warehousing concepts Experience with version control and CI/CD pipelines (e.g., Azure DevOps)
Nice-to-Have Skills Experience with Azure Databricks for distributed data processing Exposure to Collibra or similar data governance/catalog tools Knowledge of Delta Lake architecture Familiarity with streaming technologies (Kafka, Event Hub) Experience with BI tools such as Power BI
Mandatory Skills: Azure Data Engineering.
Experience: 8-10 Years.
The expected compensation for this role ranges from $80,000 to $158,000 .
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
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- English
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