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# Hadoop and PySpark Data Engineer

- **Company:** Infosys
- **Location:** Plano, TX, United States
- **Experience:** Experienced
- **Salary:** $82,419.0 - $126,600.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Airflow, Software Applications, CA Workload Automation Ae, Big Data, Software Bug Management, Cloud Computing, Code Review, Data Visualization, Data Warehousing, Relational Databases, Apache Hadoop, Apache Hive, Python (Programming Language), Unix Shell, Systems Development Life Cycle, Cloudera, SQL Databases, Systems Integration, Tableau (Software), Strategies of Testing, Apache Spark, Reliability of Systems, Containerization, Pyspark
- **Published:** November 2, 2026
- **Apply:** https://www.careerbuilder.com/job-details/hadoop-and-pyspark-data-engineer-plano-tx--c3b60403-31e5-4773-86b3-8a915c519a16

## About the Role

Apache Hadoop, Insurance, Customer Experience, Apache Hadoop, Cloud Computing, Financial Services, Wealth Management, Artificial Intelligence (AI), Consulting, Leading Edge Technology, A collaborative spirit and excellent communication skills.

The ability to handle end to end SDLC phases from requirement gathering to implementation.

A knack for translating complex requirements into actionable development tasks.

A passion for design and hands-on coding experience

A proactive approach to testing, troubleshooting, and refining our applications.

The ability to work with cross-functional teams and do software integration.

 * Experience in data warehousing architectural approaches.
 * Sound understanding and experience with Hadoop ecosystem (Cloudera).
 * Experience in working with a Big Data implementation in production environment.
 * Experience with Big Data technologies like Hadoop, Hive, Spark, python, etc. Experience in python and Unix shell scripting.
 * Experience in orchestration tool like Autosys, Airflow.
 * Sound knowledge of relational databases (SQL) and experience with large SQL based systems.
 * Understanding of Agile methodologies and technologies
 * Able to understand and explore the constantly evolving tools within Hadoop ecosystem and apply them appropriately to the relevant problems at hand.
 * Knowledge and experience with Cloud and containerization technologies
 * Experience with data visualization tools like Tableau
 * Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
 * This position may require relocation and/or travel to work/project location.
 * All applicants authorized to work in the United States are encouraged to apply.

## Description

Hadoop and PySpark Data Engineer155063BRThe Infosys Financial Services unit is a global leader in driving digital transformation for financial institutions. We specialize in leveraging advanced technologies such as AI, cloud, and data-led innovation to help our clients accelerate growth and unlock business value. Our AI-driven solutions empower financial institutions to make smarter decisions, enhance customer experiences, and achieve operational excellence. Join us to be part of a pioneering team that is at the forefront of financial services transformation. You''ll have the opportunity to work with cutting-edge AI technologies, collaborate with industry experts, and contribute to transformative projects across banking, wealth management, and insurance sectors. If you''re passionate about AI and eager to make a significant impact, the Infosys Financial Services unit is the perfect place for you to grow and excel.In the assigned Job Role of Technology Consultant 2, your Area Of
Responsibility will be as below:

Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided

Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions

Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability

Conduct code reviews, do changes to the codebase and maintain code repositories

Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards

Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications

Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability

Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects