Job Description
Job Title:  Technical Lead - L1
Req Id:  97023
City:  Richfield
State/Province:  Minnesota
Posting Start Date:  9/16/25
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

We are looking for a highly skilled and motivated Senior Data Engineer / BI Developer with strong hands-on experience in Teradata, ETL development, and Business Intelligence tools. The ideal candidate will have a solid foundation in data warehousing concepts, excellent SQL skills, and the ability to work in an Agile environment to deliver high-quality data solutions.

 

Key Responsibilities:

· Develop, optimize, and maintain complex SQL queries and stored procedures in Teradata.

· Utilize Teradata utilities such as BTEQ, MLOAD, and FLOAD for efficient data loading and transformation.

· Build and maintain interactive dashboards, reports, and KPI scorecards using Power BI, including writing DAX queries and calculations.

· Collaborate with business stakeholders to gather requirements, translate them into technical specifications, and deliver actionable insights.

· Apply strong analytical and problem-solving skills to troubleshoot data issues and optimize performance.

· Leverage Python for data manipulation, automation, and advanced analytics tasks (preferred).

· Participate in Agile ceremonies and contribute to sprint planning, reviews, and retrospectives.

· Support cloud-based data initiatives, with a focus on Google Cloud Platform (GCP) (preferred).

· Maintain documentation and follow best practices in data governance and version control.

 

Required Skills & Experience:

· Teradata: Strong hands-on experience with Teradata, including BTEQ, MLOAD, FLOAD, and stored procedures.

· SQL: Proficient in writing, debugging, and optimizing complex SQL queries.

· ETL & Data Warehousing: Solid understanding of ETL processes and data warehousing concepts.

· Power BI: Experience in building dashboards, writing DAX queries, and creating visualizations using Power BI Desktop.

· Communication: Excellent verbal and written communication skills; ability to elicit and clarify requirements from business users.

· Agile Methodology: Well-versed in Agile practices; must have executed projects in Agile environments.

 

Preferred / Good to Have:

· Python: Knowledge of Python for scripting and data analysis.

· GCP: Familiarity with Google Cloud Platform and tools like BigQuery, Dataflow, etc.

· Retail Domain: Understanding of retail business processes and data models is a plus.

 
Mandatory Skills: SQL Server .

 

Experience: 5-8 Years .

 

Expected annual pay for this role ranges from $60,000 to $135,000 . 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.

 

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. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.
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