Data Platform Engineer (Python and SQL programming)

Guidewire is searching for a unique individual who is ambitious, curious, and hungry for a rare chance to transform a 500-year-old industry from the inside out. Through our data listening capabilities, we collect more data (and more important data) than any other company in our market. We seek ways to make sense of it, showcase it, and transform it into insight that feeds billions of decision points every year across pricing, portfolio management, underwriting, claims management, and risk transfer.

At Guidewire, we offer a combination of good working conditions, an excellent market opportunity, a rational and meritocratic company culture, quality software products, and a long history of careful hiring have allowed us to create an enviable work environment.

Guidewire Analytics helps insurers and other financial institutions to model new and evolving risks such as cyber. By combining internet-scale data listening, adaptive machine learning, and insurance risk modeling, Guidewire Analytics insights help P&C customers face new risks, take advantage of new opportunities and develop new products.

Responsibilities

• Development of cloud-based microservices to collect data
• Development of REST API to serve data as service
• Development of data quality framework
• Responsible for developing and maintaining CI/CD pipelines
• Maintain and stabilize existing data pipelines and infrastructure to provide timely, quality and accurate data
• Analysis, Performance Improvement, Development, Deployment are core responsibilities 
• Indulge in brainstorming sessions
• Collaborate with peer teams and support each other’s on deliverables

Qualification

• Bachelor’s or Master’s degree in Computer Science or equivalent industry technical skills
• 5+ years of professional development experience
• In-depth knowledge on strong experience in Python programming language and should be an expert Object Oriented Programming
• Experience in any of AWS services - EC2, ECS, Lambda, Step Function, S3, SQS are added advantage
• Expertise in both SQL and NoSQL databases.
• Experience in Postgres, Redshift, MongoDB and DynamoDB are preferred
• Experience in Linux and Shell scripting required
• Experience in Docker, FAST API, Jenkins, Airflow and prior experience building MicroService are added advantage
• Expertise in version control tools Git, Bitbucket preferred
• Expertise in Development of data quality framework preferred