DataHub - DataHub L4 (7.1-9 years)

Capco
Bengaluru, Mumbai
Workplace: OnsiteFull timeFunction: Administration & Executive AssistanceExperience: 7-9 yearsEducation: bachelorsSkills: ["Communication","Analytical ability","Team player","Proactive mindset"]

Design, build, and optimize scalable data pipelines and backend services for financial services clients. Own MongoDB data modeling (schemas, indexing, high availability), develop secure high-performance REST APIs, and deploy/manage data workloads across cloud platforms (AWS, Azure, GCP, IBM Cloud). Lead performance tuning and code quality via reviews and automated testing. Collaborate with onshore IT and business stakeholders in an Agile environment.

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FursaFursa
Capco
Capco
20 hours ago

DataHub - DataHub L4 (7.1-9 years)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Design, build, and optimize scalable data pipelines and backend services for financial services clients. Own MongoDB data modeling (schemas, indexing, high availability), develop secure high-performance REST APIs, and deploy/manage data workloads across cloud platforms (AWS, Azure, GCP, IBM Cloud). Lead performance tuning and code quality via reviews and automated testing. Collaborate with onshore IT and business stakeholders in an Agile environment.
Location: Bengaluru, Mumbai
Workplace: Onsite
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Mid level

Key Responsibilities

  • •Design and implement robust, scalable data pipelines and backend services using Java and Spring Boot.
  • •Lead MongoDB schema/data modeling and optimize complex queries, indexing, and availability for low-latency performance.
  • •Develop and maintain secure, high-performance RESTful APIs for data exchange between internal systems and external partners.
  • •Deploy and manage data workloads on cloud platforms (IBM Cloud, AWS, Azure, or GCP) using managed compute and storage services.
  • •Perform performance deep-dives to identify bottlenecks and improve system performance; conduct code reviews and automated testing using JUnit/Mockito.

Key Requirements

  • •6-8 years in data engineering with MongoDB, API integration, and cloud infrastructure experience.
  • •Expert proficiency in Java with Spring Boot and experience building backend data solutions.
  • •Advanced MongoDB knowledge (aggregation framework, sharding, replication, Atlas) and strong data modeling skills.
  • •Mastery of REST API design principles, OAuth2, and API gateway management.
  • •Bachelor’s degree in IT/Computer-related field (or equivalent experience).
Experience:7-9 yearsData engineeringFinancial servicesBankingPayments
Education:Bachelor's
Skills:CommunicationAnalytical abilityTeam playerProactive mindset
Languages:English
Tech Stack:JavaSpring BootMongoDBRESTOAuth2API GatewayIBM CloudAWSAzureGCPGitMavenGradleDockerKubernetesSQLJUnitMockitoAgile

Company Brief

Capco
Global management and technology consultancy specializing in financial services. Capco advises banks, insurers, and capital markets firms on digital transformation, risk and compliance, technology implementation, and operational improvement, combining industry expertise with advisory and engineering capabilities.
Industry: Management Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: London, United Kingdom
Founded: 1998
Glassdoor
Glassdoor: 3.7
WebsiteLinkedIn