Job Overview
| Particulars | Details |
|---|---|
| Position | Data Engineering, Analytics & AI Professionals |
| Company | SK Finance Limited |
| Location | Mumbai & Jaipur |
| Job Type | |
| Category / Department | IT |
| Application Mode |
🏢 About SK Finance Limited
Company Overview:
SK Finance Limited is an Indian NBFC with more than 31 years of experience in providing customer-focused financial services. The company offers financing solutions across used and new commercial vehicles, tractors, two-wheelers, construction equipment, cars, home renovation, and business loans. SK Finance emphasizes personalized customer service and aims to provide timely and accessible financial solutions to unbanked and under-banked customers.
Company Mission:
SK Finance's mission is represented by the acronym CARE:
Customer First: Prioritizing customer needs and recommending suitable solutions.
Agility: Building agile processes to provide proactive and timely support.
Reliable: Building dependable relationships with customers and employees.
Empathy: Serving customers and employees with personal attention and cooperation.
Company Vision:
To become a preferred customer- and employee-friendly finance company while providing last-mile financial coverage to unbanked customers through timely financial support, empathy, trust, and technology.
Core Values / Principles
Customer First
Agility
Reliability
Empathy
Trust
Technology-driven financial inclusion
Head Office – Adarsh Plaza Building, Khasa Kothi Circle, Jaipur – 302001, Rajasthan
💡 Editor's Note / Preparation Tip
Resume Tips:
Clearly highlight your Data Engineering, Analytics, or AI experience.
Mention relevant technical skills and tools prominently.
Quantify the impact of data, analytics, or AI projects where possible.
Highlight experience with financial services, lending, NBFC, or related domains if applicable.
Showcase projects involving large-scale data, analytics, automation, or AI.
Keep the resume focused on measurable technical and business outcomes.
Interview Preparation:
Revise core Data Engineering concepts and data pipeline design.
Prepare examples of analytics projects and business insights generated from data.
Review relevant AI and machine learning fundamentals.
Be prepared to discuss data quality, scalability, and data-driven decision-making.
Research lending and financial services use cases for Data Engineering, Analytics, and AI.
Prepare examples demonstrating how technology has improved business processes or customer experiences.
Professional Tips:
Tailor your CV toward Data Engineering, Analytics, or AI depending on the role you are targeting.
Clearly state your strongest technical skills and project experience.
Highlight experience relevant to financial services where applicable.
Use measurable achievements rather than generic responsibility statements.
Send an updated CV to the specified recruitment email.
📝 Job Description
Position Details:
SK Finance Limited is expanding its Data Engineering, Analytics & AI team and is seeking passionate professionals interested in building data-driven solutions for the lending and financial services sector.
The opportunity is intended for professionals who want to contribute to data engineering, analytics, and artificial intelligence initiatives while working on solutions designed to transform lending operations and customer experiences.
Positions are available in Mumbai and Jaipur. Specific job titles, individual role responsibilities, technical requirements, experience ranges, and qualifications have not been provided in the supplied hiring information.
Benefits / Compensation
Opportunity to work on Data Engineering, Analytics & AI initiatives.
Exposure to data-driven solutions in the lending and financial services domain.
Opportunity to contribute to innovation at scale.
Salary/compensation: Not Provided.
Candidate Requirements:
Passion for Data Engineering, Analytics, and AI.
Interest in developing impactful, data-driven solutions.
Ability to contribute to technology and innovation initiatives.
Specific educational requirements: Not Provided.
Specific experience requirements: Not Provided.
Preferred Skills:
Data Engineering
Data Analytics
Artificial Intelligence
Data-driven solution development
Technology and innovation
Financial services/lending domain knowledge
Working Days & Hours:
Not Provided
How to Apply:
Interested candidates can send their CV to Jyoti.ram@skfin.in. Candidates may also share the opportunity with suitable professionals in their network.
🎯 Key Responsibilities
- ✓ Contribute to Data Engineering initiatives.
- ✓ Support analytics and data-driven solution development.
- ✓ Contribute to AI-focused technology initiatives.
- ✓ Help build impactful solutions for the lending environment.
- ✓ Participate in innovation and technology initiatives at scale.
- ✓ Apply data and technology capabilities to financial services use cases.
💡 Required Qualifications & Skills
🚀 Career Guidance & Interview Insights
To help you succeed, we've compiled original preparation guides, resume keywords, and growth analytics for this category of role.
Joining as a Data Engineering, Analytics & AI Professionals offers a fantastic opportunity to work at the forefront of technological innovation. You will be exposed to modern software development lifecycles, collaborate with cross-functional product teams, and design scalable architectures that directly impact end-users. The continuous learning curve in tech ensures that your programming, debugging, and system engineering skills remain highly marketable and sharp.
The career roadmap in technology is highly rewarding. Typical progression starts as a Junior Software Engineer, moving to Associate Developer and then Senior Software Engineer (3-6 years). From there, professionals choose between an individual contributor track—becoming a Tech Lead, Staff Engineer, and Principal Architect—or a management track, advancing to Engineering Manager, Director of Engineering, and Chief Technology Officer (CTO).
Expected Technical & Behavioral Questions:
- Q1: How do you optimize database query performance?
Answer Tip: Talk about indexing strategies, query execution plan analysis, avoiding N+1 queries, and implementing caching layers (like Redis). - Q2: Explain the differences between Microservices and Monolithic architecture.
Answer Tip: Highlight scaling advantages, loose coupling, independent deployments, network latency considerations, and data consistency challenges in microservices. - Q3: How do you handle merge conflicts in Git?
Answer Tip: Explain checking out the local branch, pulling the latest main branch, running git merge, opening the conflicted files to resolve blocks manually, and committing the resolved merge.
To pass automated ATS (Applicant Tracking System) screening and catch the recruiter's eye, tailor your resume with the following tips:
- Keywords to include: Software Engineering, SDLC, OOP, CI/CD Pipelines, SQL databases, Agile, Unit Testing, Code Review, Cloud Architectures (AWS/Azure).
- Format: Use a clean, single-column resume format. Avoid graphics, text boxes, or tables which can scramble ATS parser outputs.
- Quantify Results: Instead of writing 'wrote code', write 'Developed a caching system that reduced server response times by 35%.'
Estimated compensation for this role type in India is ₹3,50,000 - ₹6,00,000 per annum (Freshers/Entry level). The actual salary package offered depends on factors such as company size, work mode (remote or on-site), individual technical proficiency, and negotiations during final HR rounds.
Highly recommended certifications include: AWS Certified Solutions Architect, Microsoft Certified: Azure Fundamentals, Certified Kubernetes Administrator (CKA), Oracle Certified Professional Java SE, or tech-stack specific achievements (e.g. Meta Front-End Developer certification).
Frequently Asked Questions
What company is hiring for Data Engineering, Analytics & AI roles?
SK Finance Limited is hiring for its growing Data Engineering, Analytics & AI team.
What are the available locations?
The hiring opportunity is available in Mumbai and Jaipur.
What areas of technology are covered by the hiring?
The hiring focuses on Data Engineering, Analytics, and Artificial Intelligence.
What type of work will candidates be involved in?
Candidates will work on impactful, data-driven solutions and technology initiatives related to the future of lending.
What experience level is required?
The specific experience range has not been provided.
What educational qualification is required?
The specific educational qualification has not been provided.
Is the work mode specified?
No. The work mode has not been provided in the supplied information.
Does SK Finance operate in the financial services sector?
Yes. SK Finance Limited is an NBFC providing financing solutions across multiple segments, including commercial vehicles, tractors, two-wheelers, construction equipment, cars, home renovation, and business loans.
How can interested candidates apply?
Candidates can send their CV to Jyoti.ram@skfin.in.
Can candidates refer suitable professionals?
Yes. The hiring post encourages candidates and others in their network to tag or share the opportunity with suitable professionals.
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