Job Description

WHAT YOU’LL BE DOING

The Software Engineer will be concentrating on prototyping and developing new analytical solutions/platforms.  The solutions normally will leverage modern big data software stacks such as Cassandra, Spark, Solr, and mongDB, etc.  They will be tasked to utilize their software development skills to prototype and design solutions based on business requirements.  The Software Engineer will need to make recommendations on approaches, evaluate various solutions, and deploy prototypes developed in the Lab into production.  The position will require that the candidate learn to work with large datasets, which is not a requirement before starting the job.   We have found that candidates with strong programming skills end up being strong contributors in this environment.  The candidate must be detail oriented, curious, and able to adapt to business problems in different industries.  The candidate must be able to balance multiple concurrent projects, have the ability to prioritize projects, anticipate obstacles, and make high quality deliveries on an aggressive schedule.  The candidate must also be a team player that is self-motivated and has excellent communication skills.

Key job functions include:

• Utilize programming skills (Java, Python, etc.) to develop data processing and information retrieval tools
• Refining and implementing functional requirements, scoping, detail design, effort estimation, coding, maintenance, and support
• Convert business requirements to working prototypes and eventual deployment
• Design and implement high-performance, scalable data solution
• Prepare and install solutions by determining and designing system specs and programming
• Learning how to analyze and process large data sets by utilizing new open source technologies
• Use new and existing data processing tools to independently analyze and draw conclusions from large data sets

Qualifications

WHAT YOUR BACKGROUND LOOKS LIKE

• BS/MS/PhD degree in computer science, computer engineering, or other quantitative fields
• 0-5 years of working experience in relevant job experience
• Proficient in Java, Python, or C/C++
• Familiarity with Unix and scripting languages
• Experience with Big Data, i.e. Hadoop and associated tools
• Must be able to quickly understand technical and business requirements and be able to translate into technical implementation
• Past work with datasets also a plus

Plusses:

• Experience in developing large-scale software platforms involving ETL, data quality, fusion of data, and real-time ingestion and delivery
• Experience with Hadoop and NoSQL related technologies such as Map Reduce, Spark, Hive, Pig, HBase, mongoDB, Cassandra, Solr, Elasticsearch, etc.
• Experience with graph databases
• Experience in streaming data processing platform such as Kafka, etc.
• Experience with data collection using public API’s
• Experience in developing real-time based solutions
• Working with data visualization tools such as Javascript libraries, JQuery, etc.
• Experience with Docker, Kubernetes, or OpenShift
• Basic understanding of web applications, web services, and related ecosystem

PERKS

• During this pandemic, all Experian employees are working remotely. Once it’s safe to do so, we’ll slowly return to our offices however we are in no rush to do this. The safety of our employees is of utmost importance.
• Four weeks of vacation to start, five sick days and two volunteer days (plus eleven paid holidays)
• Competitive pay and comprehensive benefits package, with a bonus target of 20%
• Flexible work schedule and relaxed dress code

Additional Information

All your information will be kept confidential according to EEO guidelines.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Our goal is to create a thriving, inclusive and diverse team where people love their work and love working together. We believe that diversity, equity and inclusion is essential to our purpose of creating a better tomorrow. We value the uniqueness of every individual and want you to bring your whole, authentic self to work. For us, this is The Power of YOU and it ensures that we live what we believe.