Job 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
Requirements
• BS degree in computer science, computer engineering or equivalent
• 5 – 6 years of experience delivering enterprise software solutions
• Proficient in Spark, Scala, Python, AWS Cloud technologies
• 3+ years of experience across multiple Hadoop / Spark technologies such as Hadoop, MapReduce, HDFS, HBase, Hive, Flume, Sqoop, Kafka, Scala
• Flair for data, schema, data model, how to bring efficiency in big data related life cycle
• Must be able to quickly understand technical and business requirements and can translate them into technical implementations
• Experience with Agile Development methodologies
• Experience with data ingestion and transformation
• Solid understanding of secure application development methodologies
• Experience with Airflow and Python will be preferred
• Understanding of automated QA needs related to Big data
• Strong object-oriented design and analysis skills
• Excellent written and verbal communication skills
Responsibilities
· Utilize your software engineering skills including Java, Spark, Python, Scala to Analyze disparate, complex systems and collaboratively design new products and services
· Integrate new data sources and tools
· Implement scalable and reliable distributed data replication strategies
· Ability to mentor and provide direction in architecture and design to onsite/offshore developers
· Collaborate with other teams to design and develop and deploy data tools that support both operations and product use cases
· Perform analysis of large data sets using components from the Hadoop ecosystem
· Own product features from the development, testing through to production deployment
· Evaluate big data technologies and prototype solutions to improve our data processing architecture
Automate everything
Qualifications
Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 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 an important 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, colour, 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 Automotive offers data-driven insights for automotive manufacturers, dealers, lenders, ad agencies, media, and the aftermarket. Experian Automotive is a source of consumer, credit, vehicle, and digital identity data assets. Experian Automotive was founded in 1980 and was headquartered in Costa Mesa, California.
