Principal Associate, Data Engineer

Voyager (94001), India, Bangalore, KarnatakaPrincipal Associate, Data Engineer
At Capital One India, we work in a fast paced and intellectually rigorous environment to solve fundamental business problems at scale. Using advanced analytics, data science and machine learning, we derive valuable insights about product and process design, consumer behavior, regulatory and credit risk, and more from large volumes of data, and use it to build cutting edge patentable products that drive the business forward.
We’re looking for a Principal Associate - Data Engineer to join the Machine Learning Experience (MLX) team!
The MLX team is at the forefront of how Capital One builds and deploys well-managed ML models and features; we onboard and educate associates on the ML platforms and products that the whole company uses; we drive new innovation and research; and we’re working to seamlessly infuse ML into the fabric of the company. The ML experience were creating today is the foundation that enables each of our businesses to deliver next-generation ML-driven products and services for our customers.
What You’ll do

• Be part of a team working together to design, architect, and deliver on a solution to accelerate and de-risk rapid model development by automating governance processes.
• Work to help design and deliver on our machine learning lifecycle metadata storage solution to ingest and then trigger actions based on metadata changes.
• Collaborate with product managers and deliver robust cloud-based solutions that drive improvements to the model governance process and user experience for our data science partners.
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community.
• 
  Utilize programming languages like Go and Python as well as AWS services such as EKS, the various EC2 and networking based services, DynamoDB, EFS and S3, plus various data platforms.
  

Basic Qualifications

• Bachelor’s Degree
• At least 4 years of experience in data engineering
• At least 2 years of experience with AWS, GCP or Azure
• At least 1 year of experience with agile practices
• At least 1 year of experience in big data technologies
  

Preferred Qualifications

• 3+ years of experience with AWS
• 3+ years experience with Distributed data/computing tools (EMR, Spark, Dask, Databricks)
• 2+ years of data warehousing experience (Snowflake, etc)
  

No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
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For technical support or questions about Capital Ones recruiting process, please send an email to Careers@capitalone.com
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Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).