Capco

BigDataEngineer/Developer

Pune, India
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Big Data Engineer/Developer at Capco. Skills: Big Data, Hadoop, Spark, Python. Analyze software solutions. Design software solutions”

What You'll Achieve.

Meet business requirements; Meet service level agreements (SLAs); Deliver high-quality solutions; Deliver cost-effective solutions; Deliver innovative solutions; Faster time-to-market; Adequate test coverage; Contribute to team growth; Contribute to organizational best practices

Industry & Context.

Problems you'll solve

Identify root causes; Drive remediation

Eligibility Requirements

On-call support (pager rotation)

What They're Looking For.

Must Have

Hadoop, Python, Spark, Unix, Oracle, 4–6 years of relevant experience in software engineering, Experience in delivering secure solutions

Nice to Have

Apache NiFi, Ozone, Cloud technologies, Financial Services domain

What You'll Do.

Analyze software solutions

Design software solutions

Develop software solutions

Deliver software solutions

Define application requirements

Customize applications

Manage production incidents

Select technical frameworks

Maintain technology roadmaps

Research emerging technologies

Conduct knowledge sessions

Ensure knowledge transfer

Conduct requirements reviews

Conduct design reviews

Conduct security reviews

Identify process improvements

Coordinate offshore development

Manage team execution

How You'll Work.

Team & Collaboration

Provide leadership; Provide mentoring; Provide technical guidance; Work with product team; Collaborate with vendor teams; Mentor team members; Provide technical training; Coordinate offshore development; Manage day-to-day team execution

Communication Scope

Verbal communication; Written communication; Interpersonal skills; Stakeholder management

Process & Methodology

Release planning, Deployment planning, Feasibility studies, Effort estimation

Full Job Description

Job Title: Big Data Engineer/Developer Location: Pune Experience Range: 5–9 years Tech Stack Must Have : Hadoop, Python, Spark, Unix, Oracle. Good to Have : Apache NiFi, Ozone, Cloud technologies. Job Overview Responsible for the analysis, design, development, and delivery of software solutions. This role involves defining requirements for new applications and customisations while adhering to MasterCard standards, processes, and best practices. The candidate will develop, customise, and test applications to integrate with MasterCard specifications and provide leadership, mentoring, and technical guidance to team members. Key Responsibilities (Major Accountabilities) Solution Design & Development Plan, design, and develop technical solutions to meet business requirements in alignment with MasterCard standards and best practices Lead day-to-day system development and maintenance activities to meet service level agreements (SLAs) Deliver high-quality, cost-effective, and innovative solutions with faster time-to-market Full SDLC Ownership Take accountability for the full Software Development Life Cycle (SDLC), including: Requirements documentation and use-case definition System design and technical artefacts Test strategy and test design Performance benchmarking Release and deployment planning Contingency and rollback plans Feasibility studies and effort estimation Production Support & Maintenance Perform system maintenance and production incident management Identify root causes and drive remediation Participate in on-call support (pager rotation) Architecture & Technology Leadership Select appropriate technical frameworks and delivery methodologies Maintain solution and technology roadmaps Contribute to defining standards, processes, and best practices Research and evaluate emerging technologies and frameworks Innovation & Vendor Collaboration Participate in Proof of Concepts (PoCs) Support evaluation and selection of vendors, technologies, and frameworks Collaborate w

Free ATS check

Applying for this Big Data Engineer/Developer role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Greenhouse

  • Create a Greenhouse profile before applying — it saves time across multiple applications.
  • Upload your resume as a PDF; the parser handles it better than Word.
  • Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
  • Enable email notifications to track application status in real time.

ANONYMOUS · UNFILTERED

What do employees actually say about Capco?

Real rants from real employees. Read before you apply.

Read Company Rants →