Job Overview
| Particulars | Details |
|---|---|
| Position | Azure Data Engineering Lead |
| Company | Aschpro |
| Location | Hyderabad |
| Job Type | Remote |
| Experience | 10 - 12 years |
| Category / Department | IT |
| Application Mode |
🏢 About Aschpro
Since its inception, Ashpro has been at the forefront of delivering innovative IT solutions and services across diverse industries. The company specializes in providing comprehensive technology services designed to help organizations accelerate their digital transformation journey.
Our Services:
• Software Development Services
• Technology Consulting
• Managed IT Services
• IT Staffing Solutions
🎯 Our Mission
Empowering people through the value of opportunity and helping clients accomplish their business goals through innovative technology solutions.
🚀 Our Vision
Right Talent at the Right Time.
⭐ Our Core Values
• Integrity
• Commitment to Excellence
• Consumer Focus
• Accountability
• Innovation
• Collaboration
Ashpro
Plot No. 83,
Sainath Colony,
Panama Godowns,
Vanasthalipuram,
Hyderabad,
Telangana - 500070
💡 Editor's Note / Preparation Tip
✅ Resume Preparation
• Highlight Microsoft Azure and Microsoft Fabric implementations.
• Include enterprise-scale data platform architecture experience.
• Mention data governance, security, and compliance projects.
• Showcase leadership, mentoring, and stakeholder management experience.
• Include performance optimization and cloud migration projects.
• Highlight certifications such as Azure Data Engineer Associate or Azure Solutions Architect.
🎯 Interview Preparation Topics
• Microsoft Fabric Architecture
• Azure Data Factory
• Azure Synapse Analytics
• Azure Data Lake
• Lakehouse Architecture
• Data Warehouse Design
• ETL vs ELT
• Spark & PySpark
• Data Governance
• Data Security
• Performance Optimization
• Delta Lake
• Data Modeling
• CI/CD for Data Platforms
• Cloud Cost Optimization
• Data Observability
• Enterprise Architecture Patterns
💡 Common Interview Questions
• Explain Microsoft Fabric architecture and its components.
• What are the advantages of Lakehouse architecture?
• How do you design scalable data pipelines?
• Explain Spark optimization techniques.
• How do you implement enterprise data governance?
• Describe your approach to data security in Azure.
• How do you optimize cloud infrastructure costs?
• Explain Delta Lake concepts and advantages.
• How do you manage data quality and observability?
• Describe a complex data migration project you've led.
🚀 Pro Tip
For Azure Data Engineering Lead roles, interviewers focus heavily on architecture decisions, leadership experience, cloud governance, scalability strategies, and real-world enterprise implementation scenarios rather than only technical coding skills.
📝 Job Description
🚀 Greetings from Aschpro | We're Hiring | Azure Data Engineering Lead
🏢 Company: Ashpro
💼 Position: Azure Data Engineering Lead
📍 Location: Remote / Hyderabad
🏢 Work Mode: Remote / Hybrid
⏳ Employment Type: Full-Time
🧑💻 Experience: 10+ Years
☁️ Azure & Data Tech Stack
Cloud & Platforms
• Microsoft Azure
• Microsoft Fabric
• Azure Synapse
• Azure Data Factory
• Azure Data Lake
• Azure SQL
• Power BI
Data Engineering
• Spark
• PySpark
• SQL
• Python
• ETL/ELT
• Data Warehousing
• Data Lakehouse
DevOps & Automation
• Azure DevOps
• Git
• CI/CD Pipelines
• Infrastructure Automation
• Monitoring & Observability
⭐ Preferred Skills
• Enterprise Architecture
• Data Mesh Architecture
• Data Governance Frameworks
• Master Data Management (MDM)
• Data Security & Compliance
• Machine Learning Integration
• Power BI Development
• Cost Optimization Strategies
• Team Leadership & Mentoring
• Stakeholder Management
• Agile Methodologies
• Solution Architecture
🎯 Why Join Aschpro?
• Opportunity to lead enterprise-scale Azure data initiatives
• Work with cutting-edge Microsoft Fabric technologies
• Collaborate with experienced engineering teams
• Exposure to large-scale cloud transformation projects
• Flexible work environment
• Strong career growth opportunities
• Opportunity to architect next-generation data platforms
📩 How to Apply
Interested candidates can share their updated resume at:
📢 Note: Only shortlisted candidates will be contacted for the further recruitment process.
🎯 Key Responsibilities
- ✓ Design and architect enterprise-grade data platforms on Microsoft Azure and Microsoft Fabric
- ✓ Lead data engineering teams and mentor junior and senior engineers
- ✓ Build scalable, secure, and high-performance data pipelines
- ✓ Develop modern data lakehouse architectures
- ✓ Translate business requirements into technical solutions
- ✓ Establish enterprise data governance and security frameworks
- ✓ Design and optimize ETL/ELT workflows
- ✓ Implement enterprise analytics and reporting solutions
- ✓ Drive cloud migration and modernization initiatives
- ✓ Collaborate with stakeholders, architects, and business teams
- ✓ Establish data quality, monitoring, and observability standards
- ✓ Optimize performance, scalability, and cost efficiency
- ✓ Lead technical decision-making and architecture reviews
- ✓ Ensure compliance with security and governance standards
💡 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 Azure Data Engineering Lead 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
Q: Is Microsoft Fabric experience mandatory?
A: Yes, hands-on experience with Microsoft Fabric and Azure data platforms is highly preferred.
Q: Is this a leadership role?
A: Yes, the role requires mentoring teams, driving architecture decisions, and managing enterprise data initiatives.
Q: Is remote work available?
A: Yes, candidates can work remotely or from the Hyderabad location.
Q: Are Azure certifications preferred?
A: Yes, Azure Data Engineer and Azure Architect certifications are considered an added advantage.
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