Job Overview
| Particulars | Details |
|---|---|
| Position | Data Engineer (Databricks & Azure) |
| Company | RulesIQ |
| Job Type | Remote |
| Experience | 5 - 7 years |
| Category / Department | Data Scientist |
| Application Mode |
🏢 About RulesIQ
Company Overview
Founded in 2015, RulesIQ has evolved from a specialized technology staffing company into a global technology and AI-driven engineering organization. Today, the company delivers staffing, product engineering, and digital transformation services to enterprise clients across multiple regions.
Company Mission
To help organizations accelerate innovation by delivering exceptional engineering talent and technology solutions that create lasting business value.
Company Vision
To become a globally trusted technology partner recognized for innovation, engineering excellence, and customer success.
Core Values
• Innovation
• Integrity
• Customer Success
• Collaboration
• Continuous Learning
• Technical Excellence
What Makes RulesIQ Different
RulesIQ combines deep engineering expertise with global delivery capabilities, enabling businesses to build scalable digital solutions while accessing highly skilled technical professionals.
Global Presence
🌎 United States
🌎 India (Noida)
🌎 United Kingdom (London)
🌎 Singapore
Serving clients across North America, Europe, and Asia-Pacific.
RulesIQ
One Pierce Place, Suite 455E
Itasca, Illinois 60143
United States
💡 Editor's Note / Preparation Tip
📄 Resume Preparation Tips
• Highlight Azure and Databricks project experience.
• Quantify the size of datasets and pipeline performance improvements.
• Showcase Python, Spark, and SQL expertise.
• Mention cloud certifications if available.
• Include links to GitHub or technical portfolios where applicable.
🎯 Interview Preparation
• Review Azure Data Factory architecture.
• Practice Databricks and Spark optimization scenarios.
• Strengthen SQL query optimization concepts.
• Prepare Python coding exercises.
• Be ready to discuss real-world data engineering projects.
💡 Professional Tips
• Demonstrate knowledge of scalable cloud architectures.
• Emphasize performance tuning techniques.
• Show understanding of data governance and security.
• Explain your Agile project experience.
• Communicate technical concepts clearly during interviews.
📝 Job Description
Hiring: Data Engineer (Databricks & Azure) | RulesIQ
🚀 Join RulesIQ and help build next-generation data platforms!
RulesIQ is looking for an experienced Data Engineer with expertise in Databricks, Azure Data Services, and Big Data technologies. If you're passionate about designing scalable data solutions and working with modern cloud technologies in a collaborative Agile environment, we'd love to hear from you.
Position Details
📌 Position: Data Engineer (Databricks & Azure)
📍 Location: Remote / Offshore (India)
💻 Work Mode: Remote
💼 Experience: Minimum 5 Years
🎓 Qualification: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline (preferred)
📄 Employment Type: Full-Time
⏰ Joining Preference: Immediate or Early Joiners Preferred
Preferred Skills
✔ Azure Synapse Analytics
✔ CI/CD for Data Pipelines
✔ Data Warehousing Concepts
✔ Performance Tuning & Optimization
✔ ETL/ELT Development
✔ Azure DevOps
✔ Data Governance Best Practices
Candidate Requirements
• Minimum 5 years of professional experience as a Data Engineer.
• Strong hands-on expertise with Databricks and Azure Data Factory.
• Excellent programming skills in Python.
• Solid understanding of Apache Spark and distributed computing.
• Advanced SQL knowledge.
• Experience with Azure Data Lake, Unity Catalog, and Delta Tables.
• Familiarity with Power BI.
• Strong analytical and problem-solving abilities.
• Good communication and collaboration skills.
• Ability to work independently in a remote environment.
Why Join RulesIQ?
✅ Work with modern cloud and AI-driven technologies.
✅ Remote work flexibility.
✅ Opportunity to contribute to global enterprise projects.
✅ Collaborative and innovation-focused culture.
✅ Exposure to international clients across multiple industries.
✅ Continuous learning and career growth opportunities.
✅ Work alongside experienced engineering professionals.
✅ Be part of a rapidly growing global technology organization.
How to Apply
📧 Interested candidates can share their updated resumes at:
Know someone who would be a great fit? Tag them or share this opportunity with your network!
🎯 Key Responsibilities
- ✓ Design, build, and optimize scalable data pipelines using Azure and Databricks.
- ✓ Develop ETL/ELT workflows for processing large-scale datasets.
- ✓ Work with Azure Data Factory to orchestrate data integration processes.
- ✓ Develop data transformation logic using Python and Apache Spark.
- ✓ Manage and optimize Delta Tables, Unity Catalog, and Azure Data Lake.
- ✓ Create reliable and efficient SQL queries for analytics and reporting.
- ✓ Support Power BI reporting by preparing clean and optimized datasets.
- ✓ Collaborate with architects, analysts, and business stakeholders.
- ✓ Follow Agile development practices throughout the project lifecycle.
- ✓ Ensure data quality, security, and performance best practices.
💡 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 Engineer (Databricks & Azure) 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 ₹12,00,000 - ₹25,00,000+ per annum (Senior/Lead 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
Q1. Is this a remote opportunity?
Yes, this role is fully remote for professionals based in India.
Q2. What is the minimum experience required?
A minimum of five years of relevant Data Engineering experience is required.
Q3. Which cloud platform is primarily used?
Microsoft Azure is the primary cloud platform for this position.
Q4. Which technical skills are mandatory?
Databricks, Azure Data Factory, Python, Spark, SQL, Azure Data Lake, Unity Catalog, Delta Tables, and Power BI.
Q5. Are immediate joiners preferred?
Yes, immediate or early joiners are encouraged to apply.
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