Celebal Technologies Hiring 2026 | Data Engineer Fresher | Freshers Apply Now
Application Link
Apply Here:
https://celebaltech.com/careers/data-engineer-fresher
Celebal Technologies Hiring – Data Engineer Fresher Opportunity
Celebal Technologies is hiring for the position of Data Engineer (Fresher). This is an excellent opportunity for fresh graduates who are interested in data engineering, cloud technologies, ETL processes, big data, and modern data platforms.
Selected candidates will work on data-driven solutions, build data pipelines, and gain hands-on experience with technologies like Python, SQL, Apache Spark, Azure Data Factory, and Azure Databricks.
About Celebal Technologies
Celebal Technologies is a global technology company specializing in cloud solutions, artificial intelligence, data analytics, and enterprise digital transformation. The company helps organizations build scalable solutions using modern technologies.
Job Details
Company Name: Celebal Technologies
Position: Data Engineer (Fresher)
Job Type: Full-Time
Locations: Houston, USA / Calgary, Canada / Jaipur, India / Bogotá, Colombia
Qualification: Fresh Graduates with Strong Knowledge of Python, SQL, Data Engineering Concepts, ETL, Relational Databases, Apache Spark, Azure Data Factory, Azure Databricks, and Cloud Technologies
Experience: Freshers
Salary: As per Company Standards
Eligibility Criteria
- Fresh graduates are eligible to apply.
- Strong knowledge of Python and SQL.
- Understanding of data engineering concepts.
- Knowledge of ETL processes and relational databases.
- Familiarity with cloud technologies.
- Interest in building data solutions and analytics platforms.
Job Description
Celebal Technologies is looking for talented Data Engineer Fresher candidates who can work with modern data technologies to design, develop, and maintain data pipelines. Candidates will collaborate with teams to process, transform, and manage large-scale data solutions.
Key Responsibilities
- Develop and maintain data pipelines and ETL workflows.
- Work with structured and unstructured data sources.
- Write efficient SQL queries for data processing.
- Build and optimize data solutions using cloud platforms.
- Work with Apache Spark for large-scale data processing.
- Support data integration and transformation activities.
- Collaborate with engineering teams to deliver data-driven solutions.
Key Skills Required
- Python programming.
- SQL and relational databases.
- Data Engineering concepts.
- ETL processes.
- Apache Spark.
- Azure Data Factory.
- Azure Databricks.
- Cloud technologies.
- Problem-solving and analytical skills.
Preferred Skills
- Knowledge of Microsoft Azure services.
- Understanding of big data technologies.
- Experience with academic or personal data engineering projects.
- Strong learning ability and adaptability.
- Good communication and teamwork skills.
Selection Process
- Online Application
- Resume Screening
- Technical Assessment
- Technical Interview
- HR Interview
- Final Selection
Why Apply?
- Great opportunity for freshers to start a career in data engineering.
- Work with modern cloud and big data technologies.
- Gain hands-on experience in real-world data projects.
- Learn from experienced technology professionals.
- Build skills in high-demand data engineering technologies.
Who Should Apply?
- Fresh graduates interested in Data Engineering.
- Candidates with Python and SQL knowledge.
- Students interested in cloud technologies and big data.
- Graduates looking for global technology opportunities.
- Freshers seeking data engineering careers.
How to Apply?
Interested candidates can apply through the official Celebal Technologies careers portal using the application link provided above.
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Disclaimer
The recruitment details are based on the provided job information. Candidates should verify the latest eligibility criteria and application details before applying.
Keywords
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Celebal Technologies Hiring 2026 | Data Engineer Fresher | Freshers Apply Now
Meta Description
Celebal Technologies Hiring 2026 for Data Engineer Fresher roles. Fresh graduates with Python, SQL, ETL, Apache Spark, Azure Data Factory, and cloud skills can apply now.
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