Jobs
Required Skills
Java
Scala
Python
SQL
Big data technologies
Cloud computing
Voyager (94001), India, Bangalore, Karnātaka
Lead 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.
Capital One’s Enterprise Data business unit drives the company’s data strategy, focusing on governance, analytics, and AI integration to support banking innovations. It operates under a “You Build, Your Data” model that balances team autonomy with centralized standards.
At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
What You’ll Do:
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Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
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Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
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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
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Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
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Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance
Basic Qualifications:
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Bachelor’s degree in Computer Science and Engineering
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At least 7 years of experience in application development (Internship experience does not apply)
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At least 2 years of experience in big data technologies
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
Preferred Qualifications:
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8+ years of experience in application development including Python, SQL, Scala, or Java
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4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
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4+ years experience with Distributed data/computing tools (Map Reduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
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4+ year experience working on real-time data and streaming applications
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4+ years of experience with NoSQL implementation (Mongo, Cassandra)
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4+ years of data warehousing experience (Redshift or Snowflake)
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4+ years of experience with UNIX/Linux including basic commands and shell scripting
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2+ years of experience with Agile engineering practices
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at Recruiting Accommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
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).
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About Capital One
Reviews
3.2
6 reviews
Work Life Balance
2.2
Compensation
3.8
Culture
1.8
Career
2.5
Management
1.5
25%
Recommend to a Friend
Pros
Competitive compensation packages
High base salaries for roles
Performance bonuses available
Cons
Stack ranking system affecting job security
Poor interview process and communication
Mandatory office requirements
Salary Ranges
84 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$81,250
total / year
Base
$32,500
Stock
$40,625
Bonus
$8,125
$56,875
$105,625
Interview Experience
5 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
40%
Experience
Positive 40%
Neutral 60%
Negative 0%
Interview Process
1
Application Review
2
Online Assessment (CodeSignal)
3
Recruiter Phone Screen
4
Technical Interview
5
Behavioral Interview
6
Power Day/Super Day
7
Final Round/Offer
Common Questions
Coding/Algorithm
Data Analysis
Behavioral/STAR
Technical Knowledge
System Design
News & Buzz
"Let it go Down," Says Jim Cramer on Capital One (COF) - Finviz
Source: Finviz
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5w ago
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5w ago
