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الوصف الوظيفي

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
  • Design, develop and implement the Kafka ecosystem by creating a framework for using technologies such as Kafka Connect, KStreams/KSQL, Attunity, Schema Registry, and other streaming-oriented technology
  • Help build the DevOps strategy for hosting and managing our SDP microservice and connector infrastructure in AWS cloud
  • Experience with design/implementing big data technologies around Apache Hadoop, Kafka streaming, No SQL, Java/J2EE and distributed computing platforms in large enterprises where scale and complexity have been tackled.
  • Experience participating in Agile development projects for enterprise-level systems component design and implementation
  • Understand and application of enterprise software design for implementation of data services and middleware.
  • You will be reporting to a Senior Manager of Engineering

Qualifications
  • Bachelor's degree in technical discipline; Masters preferred
  • We require you to have 6+ years hands-on with good coding skills with Java, Scala, Python.
  • Experience with Kafka Streaming, Containerized Micro-services
  • Experience monitoring the health of Kafka group (data loss and data lagging) and strategy for short TTD (time to detect) of broker failure and fast TTR (time to recover)
  • Experience with RDBMS (Aurora MySQL) and No-SQL (Cassandra)
  • AWS Cloud experience – S3, EFS, MSK, ECS, EMR, etc.
  • Knowledge of Hadoop/Spark and multiple data formats like Parquet, CSV, etc. is a plus

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


#LI-Onsite


Experian Careers - Creating a better tomorrow together


Find out what its like to work for Experian by clicking here




لقد تمت ترجمة هذا الإعلان الوظيفي بواسطة الذكاء الاصطناعي وقد يحتوي على بعض الاختلافات أو الأخطاء البسيطة.

لقد تجاوزت الحد الأقصى المسموح به للتنبيهات الوظيفية (15). يرجى حذف أحد التنبيهات الحالية لإضافة تنبيه جديد.
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