Celebal Technologies Data Engineer Fresher Hiring 2026 | Internship + Full-Time Opportunity
Celebal Technologies Data Engineer Fresher Hiring 2026 | Internship + Full-Time Opportunity
Celebal Technologies is inviting applications from 2026 graduates for the role of Data Engineer (Fresher). This opportunity offers an Internship followed by a Full-Time position for candidates passionate about Data Engineering, Big Data, Cloud Computing, ETL Development, Python Programming, and Analytics.
If you are looking to build a career in Data Engineering and work with modern technologies such as Apache Spark, Azure Data Factory, Databricks, SQL, Cloud Platforms, and ETL Pipelines, this is an excellent opportunity to start your professional journey with a fast-growing technology company.
| Company Name | Celebal Technologies |
| Role | Data Engineer (Fresher) |
| Job Type | Internship + Full-Time |
| Eligible Batch | 2026 Pass-outs |
| Qualification | B.Tech (CSE/IT/ECE), M.Tech, MCA, BCA, MSc IT |
| Experience | Freshers |
| Backlogs | No Active Backlogs |
| Academic Requirement | 60% Throughout Career |
| Skills Required | Python, SQL, Spark, ETL, Cloud Technologies |
About Celebal Technologies
Celebal Technologies is a leading digital transformation and data solutions company specializing in Data Engineering, Artificial Intelligence, Cloud Computing, Analytics, and Enterprise Solutions. The company works with global clients to build modern data platforms and intelligent business solutions. Celebal provides excellent learning opportunities for fresh graduates through hands-on projects involving Big Data, Cloud Technologies, Machine Learning, and Enterprise Data Systems.
Job Responsibilities
- Collaborate with team members and technical experts on data engineering projects.
- Develop transformation logic using Python and Apache Spark.
- Create optimized ETL workflows for processing large-scale datasets.
- Work with Azure Data Factory and Databricks for workflow orchestration.
- Leverage cloud technologies to build scalable data solutions.
- Ensure data quality and consistency throughout data pipelines.
- Handle different data formats and multiple data sources.
- Participate in workflow design, implementation, and optimization.
- Work with modern database systems and cloud platforms.
- Contribute to data-driven business applications and analytics solutions.
Eligibility Criteria
- B.Tech (CSE, IT, ECE)
- M.Tech
- MCA
- BCA
- MSc IT
- 2026 graduating batch
- No active backlogs
- Minimum 60% throughout academic career
- Strong interest in Data Engineering and Cloud Technologies
Required Technical Skills
- Python Programming
- SQL
- Apache Spark
- ETL Pipelines
- Data Processing
- Relational Databases
- Git Version Control
- Cloud Computing Fundamentals
- Big Data Concepts
- Data Engineering Fundamentals
Preferred Skills
- Hadoop Ecosystem
- Apache Spark Framework
- Azure Data Factory (ADF)
- Azure Databricks
- AWS Cloud Services
- Google Cloud Platform
- Java or Scala Programming
- Agile Methodologies
- Scrum Framework
- Kanban
Why Join Celebal Technologies?
- Internship followed by Full-Time Opportunity.
- Exposure to real-world Data Engineering projects.
- Work with Azure Cloud, Databricks, and Big Data Technologies.
- Learn from experienced Data Engineers and Architects.
- Career growth in high-demand Data Engineering domain.
- Opportunity to work on enterprise-scale data solutions.
🚀 Career Growth Opportunities
Data Engineering is one of the fastest-growing technology careers globally. Professionals who start as Data Engineers can progress into roles such as Big Data Engineer, Cloud Data Engineer, Analytics Engineer, Data Architect, Machine Learning Engineer, AI Engineer, and Data Platform Architect. Organizations across banking, healthcare, retail, e-commerce, consulting, and technology sectors heavily invest in modern data infrastructure, creating strong demand for skilled Data Engineers. Learning Spark, Databricks, Cloud Platforms, SQL, Python, and Data Warehousing can significantly accelerate career growth and open opportunities in global organizations with highly competitive salary packages.
📚 Recommended Skills to Learn
To excel in Data Engineering roles, candidates should focus on Python Programming, Advanced SQL, Apache Spark, Data Warehousing, Azure Data Factory, Azure Databricks, Cloud Computing, Data Modeling, ETL Development, Git, Linux Basics, and System Design fundamentals. Understanding distributed systems, big data processing, and cloud architecture can provide a significant advantage during interviews and future projects.
🎯 Interview Preparation
Celebal Technologies may assess candidates on Python programming, SQL queries, ETL concepts, Data Structures, Big Data fundamentals, Cloud Computing basics, Git, and problem-solving skills. Freshers should prepare practical questions related to data processing, database design, Spark transformations, and Python coding.
Recommended Interview Preparation Resources:
- Top 100 Python Interview Questions and Answers
- Top 100 SQL Interview Questions and Answers
- Top Git Interview Questions and Answers
- Software Testing Interview Questions and Answers
- Business Analyst Interview Preparation Guide
- Top 60 Business Analyst Interview Questions and Answers
- Communication Skills for Placement Interviews
Preparing these topics will improve technical knowledge, communication abilities, analytical thinking, and overall interview confidence.
🔗 Related Resources
Aspire Systems Walk-In Drive 2026
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Wipro, Cummins & SLB Hiring 2026 | GIS, AI/ML & Software Engineering Opportunities
Selection Process
- Application Screening
- Online Assessment
- Technical Interview
- HR Discussion
- Internship Offer
- Full-Time Conversion Based on Performance
Documents Required
- Updated Resume
- Academic Mark Sheets
- Government ID Proof
- Project Documentation (If Available)
- Internship Certificates (If Any)
Frequently Asked Questions (FAQs)
Who can apply for this role?
2026 graduates from B.Tech, M.Tech, MCA, BCA, and MSc IT backgrounds can apply.
Are active backlogs allowed?
No. Candidates must not have any active backlogs.
What technologies should I know?
Python, SQL, Apache Spark, ETL Concepts, Cloud Fundamentals, and Git are highly preferred.
Is this an internship or full-time role?
This opportunity includes Internship followed by a Full-Time position.
Is cloud knowledge mandatory?
Basic understanding of AWS, Azure, or Google Cloud is preferred and will be advantageous during selection.
How to Apply
- Review eligibility criteria carefully.
- Prepare an updated resume highlighting Python, SQL, Spark, and project experience.
- Apply through the official application link.
- Complete assessment and interview rounds.
- Receive internship and full-time opportunity based on selection.