Job Overview
| Particulars | Details |
|---|---|
| Position | Specialist Software Engineer – Dataiku |
| Company | SPAR Technology Services India Pvt. Ltd. |
| Location | Bengaluru (Bangalore), Karnataka, India |
| Job Type | Hybrid |
| Experience | 2 - 3 years |
| Category / Department | IT |
| Application Mode |
🏢 About SPAR Technology Services India Pvt. Ltd.
About This Opportunity
Established in 2017, SPAR Technology Services is a leading recruitment and executive search firm specializing in connecting exceptional talent with top organizations across IT, Finance, Retail, Communications, and Non-IT industries. The company has built a strong reputation for delivering high-quality recruitment solutions through innovation, professionalism, and long-term partnerships.
With a modern approach to talent acquisition, SPAR Technology Services helps businesses hire skilled professionals while supporting candidates in achieving meaningful career growth.
Why Join This Opportunity?
Work on enterprise Big Data projects
Exposure to Dataiku platform
Hybrid working model
Competitive salary up to 19 LPA
Career growth opportunities
Collaborative engineering environment
Cutting-edge data engineering technologies
Company Mission:
To connect exceptional talent with outstanding career opportunities by providing world-class recruitment solutions and building long-term partnerships with clients and candidates.
Company Vision:
To become the most trusted recruitment partner by delivering innovative hiring solutions and creating successful career opportunities worldwide.
Core Values:
Excellence
Integrity
Innovation
Customer Focus
Collaboration
Professionalism
Long-Term Relationships
SPAR Technology Services India Pvt. Ltd.
Hubstairs, No. 882, 883, 3rd Floor, 5th Main Road,
KSRTC Layout, 3rd Phase, J. P. Nagar,
Bengaluru, Karnataka – 560078, India
💡 Editor's Note / Preparation Tip
Resume Tips:
Highlight Spark and Scala development projects.
Showcase hands-on Dataiku implementations.
Mention Hadoop ecosystem experience.
Include SQL optimization and ETL development.
Highlight Jenkins, GitHub, and CI/CD experience.
Add leadership, Agile, and stakeholder management achievements.
Interview Preparation:
Prepare for:
Apache Spark
Scala Programming
Dataiku Platform
Hadoop Ecosystem
SQL Optimization
Data Pipelines
ETL Development
Jenkins
Git Workflows
Agile Methodology
Big Data Architecture
Performance Optimization
Stakeholder Management
Banking Data Concepts (Preferred)
Professional Tips:
Recruiters are looking for candidates with practical experience delivering enterprise-scale data engineering solutions. Highlight Dataiku projects, Spark performance optimization, Scala development, and collaboration with cross-functional teams. Quantify achievements such as reduced processing time, optimized data pipelines, or improved analytics performance to strengthen your ATS profile.
📝 Job Description
Position Details:
We are looking for a talented Specialist Software Engineer – Dataiku to develop and maintain enterprise-scale Big Data solutions using Spark, Scala, and Dataiku. The selected candidate will work with cross-functional teams to build scalable data pipelines, optimize data processing, and support business-critical analytics initiatives.
Candidate Requirements:
Minimum 3 years of experience in Big Data development
Strong expertise in Apache Spark and Scala
Hands-on experience with Dataiku
Experience working with Hadoop ecosystem
Strong SQL skills
Knowledge of GitHub and Jenkins
Understanding of Big Data architecture and concepts
Experience working in Agile teams
Excellent analytical and problem-solving skills
Strong communication and stakeholder management abilities
Immediate joiners only
Preferred Skills:
Banking Domain
Credit Risk
Apache Hive
Kafka
Airflow
Python
Cloud Platforms (AWS/Azure/GCP)
Data Warehousing
ETL Development
Team Leadership Experience
Benefits:
Full-Time Opportunity
Hybrid Work Model
Salary up to ₹19 LPA
Enterprise Big Data Projects
Modern Data Engineering Stack
Agile Development Environment
Career Growth Opportunities
Collaborative Technical Teams
Working Days & Hours:
Full-Time
Hybrid
Bengaluru
Interview Process
Technical Rounds
Final Face-to-Face Interview (Bangalore)
How to Apply:
Interested candidates should send their updated resume to:
📧 K.Harika@spartechnologyservices.com
🎯 Key Responsibilities
- ✓ Develop scalable Big Data solutions
- ✓ Build Spark and Scala applications
- ✓ Develop Dataiku workflows
- ✓ Process large-scale datasets
- ✓ Optimize data pipelines
- ✓ Work with Hadoop ecosystem
- ✓ Write efficient SQL queries
- ✓ Maintain Git repositories
- ✓ Support CI/CD using Jenkins
- ✓ Collaborate with business stakeholders
- ✓ Participate in Agile ceremonies
- ✓ Troubleshoot production issues
- ✓ Lead small technical teams
- ✓ Improve application performance
💡 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 Specialist Software Engineer – Dataiku 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 ₹6,00,000 - ₹12,00,000 per annum (Mid 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
1. What is the work location?
Bengaluru (Bangalore), Karnataka.
2. Is this a hybrid role?
Yes. This is a hybrid work opportunity.
3. What is the required experience?
Candidates should have at least 3 years of Big Data experience.
4. Is Dataiku experience mandatory?
Yes. Hands-on experience with Dataiku is required.
5. Which technologies are mandatory?
Spark, Scala, Hadoop, SQL, GitHub, Jenkins, and Dataiku.
6. What is the offered salary?
Up to ₹19 LPA, based on experience and interview performance.
7. Are immediate joiners preferred?
Yes. Only immediate joiners will be considered.
8. Is the final interview virtual?
No. The final interview is Face-to-Face (F2F).
9. Is Banking experience mandatory?
No. Banking or Credit Risk domain knowledge is an added advantage.
10. How can I apply?
Send your updated resume to K.Harika@spartechnologyservices.com.
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