Master Data Engineer

Voyager (94001), India, Bangalore, Karnataka

At Capital One India, we operate in a fast-paced and intellectually stimulating environment to solve complex business problems at scale. Using cutting-edge technology and data-driven solutions, we focus on building highly scalable and efficient data platforms that enable observability, analytics, and governance for critical business functions.

We are looking for a Master Data Engineer to drive the development of high-performance data ingestion pipelines and scalable observability data stores. The ideal candidate will have a strong foundation in software engineering and data engineering principles, with a focus on designing and implementing cloud-native solutions. This role requires hands-on expertise in architecting resilient data pipelines and distributed storage solutions that support real-time and batch processing at scale.

What You’ll Do:

Lead the design, development, and optimization of scalable data ingestion pipelines and observability data stores.
Architect and implement cloud-native data solutions to support real-time analytics and monitoring.
Work closely with cross-functional teams, including software engineers, data scientists, and platform teams, to enhance data infrastructure and observability capabilities.
Build and optimize distributed data storage solutions, leveraging scalable indexing and search frameworks such as OpenSearch.
Develop and maintain efficient ETL/ELT processes for structured and unstructured data sources.
Ensure high availability, reliability, and security of data platforms through automation, monitoring, and best practices.
Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
Contribute to architectural decisions, code reviews, and technical mentorship within the team.

Required Qualifications:

7-10 years of experience in data engineering, software engineering, or a related field.
Strong expertise in building scalable data ingestion pipelines using distributed processing frameworks.
Hands-on experience with designing and optimizing data stores for large-scale observability and analytical workloads.
Proficiency in cloud services (AWS preferred) and infrastructure-as-code tools.
Solid programming skills in Python, Java, or Scala for building robust data solutions.
Familiarity with indexing and search engines such as OpenSearch or Elasticsearch.
Strong problem-solving skills and ability to work in a collaborative, agile environment.

Preferred Qualifications:

Experience working with log analytics, metrics collection, and observability platforms.
Knowledge of microservices, event-driven architectures, and API-based data integration.
Familiarity with Kubernetes, Docker, and DevOps practices for data pipeline deployment.
Exposure to Machine Learning Observability and monitoring frameworks.

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 (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable 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.

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 RecruitingAccommodation@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

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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).

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