Job description
Hands-On collaboration as a primary member of a software engineering team focused on building event driven services delivering secure, efficient solutions in a bold timeframe.
• Work with Data Science teams creating solutions incorporating Machine Learning algorithms and models using Python with Data Engineering libraries and tools.
• Deliver available and scalable data streaming application functionality on an AWS cloudbased platform.
• Diligently observe and maintain Standards for Regulatory Compliance and Information Security.
• Deliver and maintain accurate, complete and current documentation.
• Participate in full Agile cycle engagements, including meetings, iterative development, estimations, code reviews and design sessions.
• Actively contribute to team architecture, engineering, and product discussions ensuring the team delivers software.
• Work closely with the service quality engineering team to ensure that only thoroughly tested code makes it to production • Own deliverables from design through production operationalization.
Qualifications
- 5+ years of software development experience building and testing applications following secure coding practices.
- Collaborating as a hands-on team member developing a significant commercial software project in Python.
- Proficiency in developing server-side Python using mainstream tools including the Spring framework, Pandas, SciPy, PySpark, and Pydantic
- Current cloud technology experience AWS (Kubernetes, Fargate, EC2, S3, RDS PostgreSQL, Lambda, OpenSearch/Elasticsearch)
- Proficiency in SQL and NoSQL based data access and management on PostgeSQL and MongoDB or AWS DocumentDB.
- Recent hands-on experience building and supporting commercial systems managing data and transactions including server-side development of Data Flow processes, incorporating Machine Learning models, performing Data Enrichment, and ETL processes
- Experience with Continuous Integration/Continuous Delivery (CI/CD) process and practices (CodeCommit, CodeDeploy, CodePipeline/Harness/Jenkins/Github Actions, CLI, BitBucket/Git, etc.)
- Knowledgeable and experienced with software and system patterns and their application in prior works.
- Experience gathering and assessing specifications and requirements
- Experience supporting data science efforts.
- Familiarity creating and using Docker/Kubernetes applications
Our benefits include: Medical, life and dental insurance, Asociacion Solidarista, International Share Save Plan, Flex Work/Work from home, Paid time off, Annual Performance Bonus, Education Reimbursement, Family Bonding, Bereavement Leave, Referral Program, and more.
- This is a fully remote job opportunity. #LI-Remote
- 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, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's 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 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.
