Job Description
Job Title:  Developer L3
Req Id:  107307
City:  Dallas
State/Province:  Texas
Posting Start Date:  10/29/25
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

Role: Data Engineer 

Location: Dallas, TX (Day 1 Onsite) – 5 days a week onsite 

Job Description: 

This role has a specialized focus on building and maintaining robust, scalable, and automated data pipelines and plays a key role in optimizing our data infrastructure and enabling efficient data delivery across the organization. As the organization consolidates data in Snowflake, this role will be instrumental in building data pipelines, ensuring data quality.

Job Duties:

  • Design, build, and maintain scalable and resilient pipelines for data applications and infrastructure, with a focus on Snowflake.
  • Implement and manage Snowflake projects for data transformation, including developing tests, and documentation, and integrating into CI/CD workflows.
  • Automate the deployment, monitoring, and management of Snowflake data warehouse environments, ensuring optimal performance, security, and cost-effectiveness.
  • Collaborate with data engineers and data scientists to understand their requirements and provide robust, automated solutions for data ingestion, processing, and delivery.
  • Implement and manage monitoring, logging, and alerting systems for data pipelines and infrastructure to ensure high availability and proactive issue resolution.
  • Develop and maintain robust automation scripts and tools, primarily using Python, to streamline operational tasks, manage data pipelines, and improve efficiency; Bash scripting for system-level tasks is also required.
  • Ensure security best practices are implemented and maintained across the data infrastructure and pipelines.
  • Document system architectures, configurations, and operational procedures.
  • Optimize data pipelines for performance, scalability, and cost.

 

Minimum Qualifications / Other Expectations:

Education & Experience:

  • Bachelor's degree in Computer Science, Engineering, or a related technical field expertise which is equivalent.
  • 10+ years of hands-on experience  in Data Engineering
  • 3+ years of experience specifically focused on Snowflake and Databricks


Other:

  • Highly experienced in automation, and problem-solving skills with proficiency in cloud technologies.
  • Ability to collaborate effectively with data engineers, analysts, and other stakeholders to ensure the reliability and performance of our data ecosystem.
  • Hands-on experience managing and optimizing Snowflake data warehouse environments.
  • Demonstrable experience with data modeling techniques for ODS, dimensional modeling (Facts, Dimensions), and semantic models for analytics and BI.
  • Have familiarity with Spark and Pyspark and Databricks
  • Strong proficiency in Python for automation, scripting, and data-related tasks. Experience with relevant Python libraries is a plus.
  • Solid understanding of CI/CD principles and tools (e.g., Bitbucket Runners, Jenkins, GitLab CI, GitHub Actions, Azure DevOps).
  • Knowledge of data integration tools and ETL/ELT concepts.
  • Familiarity with monitoring and logging tools.
  • Strong SQL skills.
  • Ability to work independently and as part of a collaborative team in an agile environment.
  • Strong communication skills, with the ability to explain complex technical concepts clearly.

 

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Mandatory Skills: DataBricks - Data Engineering .

 

Experience: 3-5 Years .

 

The expected compensation for this role ranges from $45,000 to $110,000 .

 

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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