Software Engineer at Experian

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

04 Feb, 26

Salary

0.0

Posted On

06 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Apache Airflow, Apache Spark, Scala, Python, AWS, EMR, S3, RDS, GenAI, Data Pipelines, Troubleshooting, Optimization, Collaboration, Monitoring, Automation

Industry

Information Services

Description

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description We are looking for a Junior or Associate Software Engineer to join our data engineering team. This role involves building and maintaining robust data pipelines, working with distributed data processing frameworks, and integrating GenAI agents for intelligent monitoring and automation. Key Responsibilities: Design and implement data pipelines using Apache Airflow. Develop, configure, and maintain Apache Spark jobs using Scala or Python. Work with AWS services such as EMR, S3, and RDS to manage data workflows and storage. Build and deploy GenAI agents to monitor job execution, performance metrics, and system health. Collaborate with cross-functional teams to ensure data reliability and scalability. Troubleshoot and optimize data processing jobs for performance and cost-efficiency. You would be reporting to a Senior Manager Qualifications You require to have 1+ years of experience in software or data engineering. Hands-on experience with Airflow and Spark. Proficiency in Scala or Python. Experience working with AWS EMR, S3, and RDS. Familiarity with GenAI tools and concepts for observability and automation. Additional Information Our uniqueness is that we truly celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's strong people first approach is award winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Experian Careers - Creating a better tomorrow together Benefits Experian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here

Responsibilities

The role involves building and maintaining robust data pipelines and integrating GenAI agents for intelligent monitoring and automation. You will collaborate with cross-functional teams to ensure data reliability and scalability.