Technical Lead - L1

Req Id: 85211

City: Louisville

State/Province: Kentucky

Posting Start Date: 7/30/25

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

The Senior Data Engineer will be responsible for the build of Enterprise Data platform.

Setting up the data pipelines that are scalable, robust and resilient and build pipelines to validate, ingest, normalize/enrich and business-specific processing of healthcare data.

Build Azure Data Lake leveraging Databricks technology to consolidate all data across the company and serve the data to various products and services.

The scope of this role will include working with engineering, product management, program management and operations teams in delivering pipeline platform, foundational and application-specific pipelines and building the Data Lake in collaboration with business and other teams.

Responsibilities

• Design, Develop, Operate and drive scalable and resilient data platform to address the business requirements

• Drive technology and business transformation through the creation of the Azure Data Lake

• Ensure industry best practices around data pipelines, metadata management, data quality, data governance and data privacy

• Partner with Product Management and Business leaders to drive Agile delivery of both existing and new offerings; assist with the Leadership and collaboration with engineering organizations within Change to manage and optimize the portfolio

Required Skills

• 10 years working experience in Data processing / ETL / Big data technologies like Informatica, Hadoop, Cloudera

• 4 years working experience in Databricks (essential) and Python

• Experience with Cloud / Azure architectural components

• Experience building data pipelines and infrastructure

• Deep understanding of Data warehousing concepts, reporting and Analytical concepts

• Experience with Big Data tech stack, including Hadoop, Java, Spark, Scala, and Hive, NoSQL data stores

• Bachelor's degree in Mathematics, Physical Sciences, Engineering or Computer Science

Nice to Have skills

• Experience in leading design and development of large systems

• Demonstrates strong drive to learn and advocate for development best practices

• Proven track record of building and delivering enterprise-class products

• Full Stack Experience (End to End Development)

• Crisp and effective executive communication skills, including significant experience presenting cross-functionally and across all levels

Location - Louisville, Kentucky ( Onsite)

Mandatory Skills: DataBricks - Data Engineering .

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.