Experian is the world’s leading global information services company. During life’s big moments — from buying a home or a car to sending a child to college to growing a business by connecting with new customers — we empower consumers and our clients to manage their data with confidence. We help individuals to take financial control and access financial services, businesses to make smarter decisions and thrive, lenders to lend more responsibly, and organizations to prevent identity fraud and crime.
We have 17,800 people operating across 44 countries, and every day we’re investing in new technologies, talented people and innovation to help all our clients maximize every opportunity. We are listed on the London Stock Exchange (EXPN) and are a constituent of the FTSE 100 Index.
Learn more at www.experianplc.com or visit our global content hub at our global news blog for the latest news and insights from the Group
Experian is the world’s leading global information services company. During life’s big moments — from buying a home or a car to sending a child to college to growing a business by connecting with new customers — we empower consumers and our clients to manage their data with confidence. We help individuals to take financial control and access financial services, businesses to make smarter decisions and thrive, lenders to lend more responsibly, and organizations to prevent identity fraud and crime.
We have 17,800 people operating across 44 countries, and every day we’re investing in new technologies, talented people and innovation to help all our clients maximize every opportunity. We are listed on the London Stock Exchange (EXPN) and are a constituent of the FTSE 100 Index.
Learn more at www.experianplc.com or visit our global content hub at our global news blog for the latest news and insights from the Group
About the Role:
Our team is responsible for building the backend components of MLOps platform and infrastructure on AWS. The solution then gets deployed to different regions. Different regions have their own way of consuming the service. Making the region-specific changes and made this available to the regions with all the vulnerabilities fixed is the the responsibility of the team. This includes both real-time and batch processing.
Also we deploy our analytical sandbox environment in databricks to multiple region on Azure. We set up automated data ingestion and export pipelines to and from this environments and users have visibility to data based on their entitlement.
What you’ll do here
• Develop and deploy features to enable sandbox environment provisioning via azure functions, logic apps
• Create different automated pipelines via data bricks runbooks, ADF, and azure functions to support data ingestion and reporting.
• Design & build backend components of our MLOps platform on AWS.
• Collaborate with geographically distributed cross-functional teams.
• Participate in on-call rotation with the rest of the team to handle production incidents.
What you’ll need to succeed
Must have skills:
• Strong experience with big data services like ADF, Databricks, Datalakes in azure.
• Strong experience with azure logic app and azure function, and azure active directory.
• At least 2+ years of professional backend web development experience with Python.
• Experience with containers (Docker) and container platforms like AWS ECS or AWS EKS.
• At least 2+ years of experience with DevOps & IaC tools such as Terraform, Jenkins etc.
• Experience with unit and functional testing frameworks.
• Experience with any of the public cloud platforms like AWS, Azure, GCP, preferably AWS.
• Experience with CI/CD practices, tools, and frameworks.
• Experience with release management, SCM like bitbucket, and working on agile team.
Nice to have skills:
• Experience with Apache Kafka and developing Kafka client applications in Python.
• Experience with MLOps platorms such as AWS Sagemaker, Kubeflow or MLflow.
• Experience with big data processing frameworks, preferably Apache Spark.
• Experience with various Python packaging options such as Wheel, PEX or Conda.
• Experience with metaprogramming techniques in Python.
• Experience with web development frameworks such as Flask, Django or FastAPI.
• Experience working with WSGI & ASGI web servers such as Gunicorn, Uvicorn etc.
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