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Capco

Java Backend Engineer

India - Pune; India - PuneIndia
Tech & Engineering
POSTED 4 NOVVERIFIED 14M AGO
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Pay · market
₹8.4L–₹24.5L
p25–p75 · n=3
Open for
0d
closes ~49d here
Hiring · 30d
691
+3 net · open roles
Java

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

MAKE AN IMPACT

Job Location: Pune

Experience: 5-10 yrs

JD:

Role Description

Full stack Developer Backend (GCB4) Role Summary We are seeking an engineer with strong expertise in both API development and database development, capable of designing, implementing and maintaining reliable, scalable solutions across both areas. Key Responsibilities Backend (API) Engineer Responsibilities

  • Design, develop and maintain scalable backend services, APIs and integration components, including database procedures and functions where required.
  • Contribute to system and solution architecture, ensuring services are scalable, reliable and maintainable.
  • Implement secure-by-design practices, including authentication, authorisation, data protection and secure coding.
  • Write clean, maintainable and well-tested code; participate in code reviews and uphold engineering standards.
  • Profile, monitor and tune backend services to maintain performance, availability and resilience.
  • Troubleshoot production issues, conduct root-cause analysis and implement preventative improvements.
  • Collaborate with frontend engineers, product managers, QA, platform/SRE teams and other stakeholders to deliver end-to-end solutions.
  • Document APIs, services, integration patterns and operational runbooks to support maintainability and knowledge transfer.

Database and Data Engineering Responsibilities

  • Design, develop and maintain ETL pipelines and data-ingestion processes from sources such as data lakes, files and databases.
  • Design and optimise data models, schemas, database queries and storage strategies for operational, analytical and machine-learning use cases.
  • Build and maintain data lakes, warehouses and other data platforms, ensuring scalability, performance and cost efficiency.
  • Implement batch and real-time data processing solutions, with appropriate controls for performance, resilience and operational cost.
  • Establish data-quality, lineage, observability and monitoring capabilities across data pipelines and platforms.
  • Own or contribute to CI/CD, infrastructure-as-code and automated deployment practices for data services.
  • Troubleshoot data-platform and pipeline issues, perform capacity planning and implement preventative improvements.
  • Ensure data solutions meet applicable security, compliance and governance requirements.
  • Collaborate with business partners, solution architects, subject-matter experts, analysts and source-system teams to translate requirements into production-ready data solutions.
  • Produce technical documentation and lead knowledge-transfer sessions for data models, pipelines, platforms and operational processes. Required Skills & Experience Backend (API) Engineer – Required Skills
  • Strong backend engineering fundamentals, including data structures, algorithms, concurrency and distributed-systems concepts.
Source · CapcoFirst seen 4 NovOriginal ↗