Data Engineer Associate

Posted 13 Days Ago
Remote
3-5 Years Experience
Fintech • Insurance
The Role
The Data Engineer Associate at Genworth works closely with Project Stakeholders and Technical team to develop and maintain Pre/Post processing programs and ML models. Responsibilities include building machine learning pipelines, developing python programs, utilizing GCP tools, working with cross-functional teams, and developing Enterprise API and Microservices using Python, JavaScript, Docker, Kubernetes.
Summary Generated by Built In

At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care with guidance, products, and services that meet families where they are. Further, we are the spouses, children, siblings, friends, and neighbors of those that need care—and we bring those experiences with us to work in serving our millions of policyholders each day. 

We apply that same compassion and empathy as we work with each other and our local communities. Genworth values all perspectives, characteristics, and experiences so that employees can bring their full, authentic selves to work to help each other and our company succeed. We celebrate our diversity and understand that being intentional about inclusion is the only way to create a sense of belonging for all associates. We also invest in the vitality of our local communities through grants from the Genworth Foundation, event sponsorships, and employee volunteerism.

Our four values guide our strategy, our decisions, and our interactions:

  • Make it human. We care about the people that make up our customers, colleagues, and communities.
  • Make it about others. We do what's best for our customers and collaborate to drive progress. 
  • Make it happen. We work with intention toward a common purpose and forge ways forward together. 
  • Make it better. We create fulfilling purpose-driven careers by learning from the world and each other.

POSITION TITLE

Data Engineer Associate

POSITION LOCATION

Remote India

YOUR ROLE

In this role you will be working very closely with Project Stakeholders and Technical team. As part of your role, you will be responsible to develop and maintain Pre/Post processing programs and ML models. You will be responsible for maintaining, patching, upgrading and developing for multiple ML & Python based solution. This role is a very engaging mix of hands on technical work as well as opportunities to show leadership skills. You will need a blend of superb problem-solving and innovation skills to resolve a wide variety of technical challenges. You will be working with Stakeholders and Solution Architects who thrive through innovation and will ensure ample room for innovation on every project you are involved in. You will be working with best in class employees with a diverse background in a very fun and engaging environment.

What you will be doing

  • Build machine learning pipelines for a variety of use cases in insurance.
  • Develop python pre/post processing programs for the ML Pipelines using industry standard ML libraries
  • Utilize GCP based tools for implementation of ML pipelines. (Composer, Airflow, Cloud functions, Bigquery, workbench, DocAI)
  • Work with Production Support /Run the Shop IT Partner vendor team and provide directions and assistance.
  • Interact closely with various functional and cross -functional teams to translate business requirements into technical solutions
  • Develop Enterprise API and Microservices using Python, JavaScript, Docker, Kubernetes and used DevOps for CICD

What you bring

  • Overall 2-4 years of experience in Python, GCP
  • Having Math or Computer Science educational background
  • Proficient in Python programming language including Pandas, TensorFlow, Scikit-learn, Torch and Keras ML Libraries
  • Proficient in Cleaning and structuring the data by applying feature-engineering techniques
  • Understanding Of High-Performance CV Models and Techniques (Image Classification, Object Detection, Object Tracking, Semantic Segmentation, Etc.) And With Toolkits/Frameworks from Python, Preferably with Cloud Deployment Experience
  • Proficient in Programming theory, practice and combined with strong hands-on experience in enterprise architectures
  • Experience in SQL and Database Design and SQL Tuning
  • Must have multiple full lifecycle project experience in developing ML/AI based solutions
  • Basic understanding of NoSQL and RDBMS databases.
  • Strong focus on providing service to the customer.
  • Out of the box thinking; Flexible / Critical thinking skills a must.
  • Able to sell concepts and designs / benefits to multiple audiences.
  • Able to work independently and in diverse, and remote teams

Employee Benefits & Well-Being

Genworth employees make a difference in people’s lives every day. We’re committed to making a difference in our employees’ lives.

  • Competitive Compensation & Total Rewards Incentives
  • Attractive Mediclaim Coverage
  • Annual Leave of up to 25 days
  • 12 Sick Leaves
  • 12 Casual Leaves
  • Additional leaves for marriage, child-birth, adoption, bereavement
  • 11 Holidays for all employees
  • Utility Allowance to cover for Internet and Phone expenses
  • Employment Assistance Program
  • Gratuity eligibility
  • Business Travel Accident Insurance
  • Active employee engagement activities
  • Access to LinkedIn Learning in addition to ongoing Genworth Training calendar

Top Skills

Python
The Company
HQ: Richmond, VA
5,001 Employees
On-site Workplace
Year Founded: 2004

What We Do

Genworth is an insurance company that is dedicated to help people secure their financial lives, families, and futures.

Genworth Financial, Inc. is a leading insurance holding company committed to helping families achieve the dream of home ownership and address the financial challenges of aging through its leadership positions in mortgage insurance and long term care insurance. Headquartered in Richmond, Virginia, Genworth traces its roots back to 1871.

Our products and services are offered through financial intermediaries, advisors, independent distributors and sales specialists.

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