Job Overview
| Particulars | Details |
|---|---|
| Position | GCP Data Engineer |
| Company | CSI Global |
| Location | Pune / Hyderabad |
| Job Type | Full-Time |
| Experience | 4 - 5 years |
| Category / Department | IT |
| Application Mode |
🏢 About CSI Global
Company Overview:
CSI Global provides cloud consulting, managed services, and AI engineering solutions for regulated organizations and revenue-critical teams. The company supports businesses with pricing and billing operations, managed cloud platforms, AI delivery, and modernization programs, with an emphasis on governance, reliability, and measurable delivery outcomes.
Company Mission:
Not Provided
Company Vision:
Not Provided
Core Values / Principles
Reliable production delivery
Governance and control
Operational resilience
Automation and innovation
Measurable execution
Pune: 706 Fortuna Business Center, Near Shivar Garden, Pimple Saudhagar, Pune, Maharashtra
Hyderabad: Capital Park, 101, Capital Pk Rd, Ayyappa Society, VIP Hills, Silicon Valley, Madhapur, Hyderabad, Telangana 500081
💡 Editor's Note / Preparation Tip
Resume Tips:
Highlight your total data engineering experience prominently.
List hands-on GCP experience, especially BigQuery, Dataflow, Pub/Sub, and GCS.
Clearly mention Python and advanced SQL expertise.
Include examples of batch and streaming pipeline development.
Highlight on-premise-to-GCP migration projects.
Mention Airflow/Cloud Composer, CI/CD, security, and governance experience.
Interview Preparation:
Revise BigQuery architecture, optimization, partitioning, and performance concepts.
Prepare to explain Dataflow batch and streaming pipelines.
Review Pub/Sub architecture and message-processing patterns.
Prepare practical Python and advanced SQL examples.
Understand Airflow DAGs and workflow orchestration.
Review GCP migration strategies and data governance concepts.
Be prepared to discuss pipeline reliability, scalability, and data quality.
Professional Tips:
Clearly mention your GCP certifications if applicable.
Quantify the scale of data pipelines you have built where possible.
Highlight production experience rather than only listing technologies.
Mention your experience with both batch and real-time data engineering.
📝 Job Description
Position Details:
The GCP Data Engineer will be responsible for designing and developing scalable data platforms and pipelines on Google Cloud Platform. The role involves building reliable batch and streaming processing solutions using services such as BigQuery, Cloud Dataflow, Pub/Sub, and Google Cloud Storage.
The position also involves developing ETL/ELT workflows, supporting on-premise-to-GCP migrations, implementing workflow orchestration through Cloud Composer/Airflow, and following cloud security, governance, and CI/CD practices.
The successful candidate will collaborate with architects, data analysts, and business stakeholders to deliver reliable and scalable data solutions.
Benefits / Compensation
Salary, benefits, and additional compensation details were not provided.
Candidate Requirements:
5+ years of relevant data engineering experience.
Strong knowledge of Google Cloud Platform.
Hands-on experience with BigQuery, Dataflow, Pub/Sub, and GCS.
Strong Python and advanced SQL skills.
Experience developing ETL/ELT pipelines.
Understanding of both batch and streaming data processing.
Experience with on-premise to GCP data migration.
Knowledge of data quality, security, and governance practices.
Preferred Skills:
Cloud Composer
Apache Airflow
CI/CD pipelines
Cloud modernization
Data governance
Data security
Streaming data processing
GCP migration
Working Days & Hours:
Not Provided
How to Apply:
Interested candidates can share their updated resume at teja.c@csiglobal.co.uk.
🎯 Key Responsibilities
- ✓ Design and develop scalable data pipelines on GCP.
- ✓ Build reliable batch and streaming data processing solutions.
- ✓ Develop ETL/ELT pipelines using BigQuery, Dataflow, Pub/Sub, and GCS.
- ✓ Write efficient Python code and advanced SQL for data transformation.
- ✓ Support on-premise to GCP data migration and cloud modernization initiatives.
- ✓ Implement workflow orchestration using Cloud Composer/Airflow.
- ✓ Follow CI/CD, security, data quality, and governance best practices.
- ✓ Collaborate with architects, analysts, and business stakeholders.
💡 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 GCP Data Engineer 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 job title?
The position is for a GCP Data Engineer.
2. How much experience is required?
Candidates should have 5+ years of relevant experience.
3. Where is the position located?
The role is available in Pune and Hyderabad.
4. What are the key GCP technologies required?
Key technologies include BigQuery, Cloud Dataflow, Pub/Sub, GCS, and Cloud Composer/Airflow.
5. Is Python required for this role?
Yes. Strong Python skills are required for data transformation and pipeline development.
6. Is SQL experience required?
Yes. Candidates should have strong advanced SQL skills.
7. Does the role involve batch and streaming data?
Yes. The position involves developing both batch and streaming data processing solutions.
8. Does the role require cloud migration experience?
Yes. Experience supporting on-premise to GCP data migration and cloud modernization is required.
9. Is Airflow experience relevant?
Yes. Workflow orchestration using Cloud Composer/Airflow is part of the role.
10. How can candidates apply?
Candidates can send their updated resumes to teja.c@csiglobal.co.uk.
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