🔥 Viewed by 99 students today✓ Verified Listing

Data Engineer

Celebal TechnologiesCompetition: Moderate • Entry Level
|Houston, Calgary, Jaipur, Bogotá|Posted 2 days ago|Last verified 2 days ago
✓ Company career page verified✓ Application route verifiedLast checked on Jun 22, 2026
💼 Experience Required
Fresher
🕒 Employment Type
Full-time
🎓 Target Batch
Fresher
🚀 Role Category
Data Science
📌 How to Apply
Click on the Apply button
💰 Salary
Not publicly disclosed
Compensation follows company standards.
Skills Recommended
PythonSQLApache SparkETL PipelinesCloud Knowledge

Company Information

Official Job Details

Job Description

Data Engineer (Fresher)

Full Time

Houston | Calgary | Jaipur| Bogotá

Apply for this position

Python

SQL

Apache Spark

ETL Pipelines

Cloud Knowledge

Job Description

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Fresh graduate with a strong foundation in Python, SQL, and data engineering concepts. Hands-on experience through academic and personal projects involving ETL, data processing, and relational databases. Familiar with Apache Spark, Azure Data Factory, Azure Databricks and cloud technologies through coursework and practical learning. Eager to build scalable data solutions, learn modern Big Data technologies and contribute to data-driven business applications.

Key Responsibilities

Collaborates on projects with team members and specialized knowledge disciplines; helps define workflows and timeframes to support specifications and guidelines.

Uses knowledge of Spark and Python to Create Transformation logic which is oriented towards optimization.

Leverage cloud technologies like ADF and Databricks to orchestrate your workflows.

Able to use some open-source technologies and cloud services.

Ensure data quality at all stages of workflow.

Knowledge of different data formats and sources.

Demonstrates knowledge of various database systems used in companies and should be up to date with existing Cloud Technologies being used for solving Big Data Problems.

Qualifications

Qualification: B.tech (CSE/IT/ECE), M.tech, MCA, BCA, MSC IT

No Active Backlogs

Passing out year: - 2026

60% throughout the career

Desired Skills

Good Knowledge of Big Data Tools and its framework (Hadoop, Spark)

Basic Knowledge in any cloud-based environment, e.g., one of AWS, Azure, or Google Cloud.

Good Knowledge & hands-on experience of Python/Java/Scala.

Basic Knowledge of Git version control.

Hands-on experience with SQL.

Basic Understanding of Agile frameworks, e.g., Scrum and Kanban.

Good written and verbal communication skills with the ability to listen, present and communicate solutions clearly and concisely with technical audiences is a mustHouston | Calgary | Jaipur| Bogotá

Internship + FulltimeAbout Celebal technologies

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Celebal Technologies is a leading digital transformation company helping enterprises leverage AI, data engineering and cloud technologies to build scalable platforms.

💡 Editor's Career Guide for this Role

🎯 Why This Role Matters

This role provides direct hands-on experience with production-grade codebases, agile development lifecycles, and scalable architectures. It serves as a major accelerator for careers in backend, frontend, or full-stack software development.

⚡ Key Skills Needed

To stand out for this position, hiring managers for this Data Engineer role are looking for:

  • Strong foundational knowledge in core engineering principles.
  • Ability to adapt quickly to the fast-paced environment at Celebal Technologies.
  • Proficiency in Python, SQL, Apache Spark.

💡 Application Tips

  • Tailor your resume: Highlight specific projects or experiences that align directly with current initiatives at Celebal Technologies.
  • Prepare for behavioral rounds: Be ready to discuss times you have handled failure, tight deadlines, or team conflicts.
  • Leverage the AI Assistant: Use the AI Assistant button above to evaluate your resume against this specific Data Engineer description before applying.

CampusToCareer Analysis

⭐ Original AnalysisLast Verified: Jun 22, 2026

🎯 Should You Apply?

✓ Suitable for:

  • Business graduates
  • Engineering students
  • Students interested in consulting or analytics

✗ Not ideal if:

  • Looking strictly for software development/coding roles
  • Uncomfortable with stakeholder presentations

⚡ Difficulty Level

Application DifficultyMedium
Expected CompetitionHigh
Interview Rounds2–4 rounds
Note: These stats are evaluated by our editorial team based on past application metrics and hiring trends.

🎓 What You Will Learn

Skills you may develop through this role:

  • Python
  • SQL
  • Apache Spark
  • SQL database query optimization

📝 How to Prepare

  1. Master SQL basics (joins, subqueries, group by, window functions)
  2. Understand business analysis lifecycles and requirement gathering
  3. Practice communication and case study problems
  4. Learn key metrics (conversion, churn, retention) used in analysis

📄 Resume Match Tips

Highlight these on your resume to stand out:

  • Highlight communication projects and business case studies
  • List SQL and Excel proficiency with concrete project examples
  • Showcase leadership, clubs, or team collaboration experiences
⚠️

Reality Check

This role is less technical and more communication-oriented. Students expecting software development or compiler work may find the role different from expectations.

❓ Frequently Asked Questions

Editorial Analysis Disclaimer: The opinions expressed in this CampusToCareer Analysis are formulated by our platform editors to guide students. Please review the official company listing before applying.
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Candidate Guide • 5 min role analysis

More than a copied JD: use this page to prepare before you apply.

Celebal Technologies is hiring for Data Engineer in Houston, Calgary, Jaipur, Bogotá. This page goes beyond the raw listing so students can understand what the role usually expects, how to prepare for screening, and how to apply more thoughtfully instead of forwarding a resume blindly.

Application Difficulty: MediumCompetition: HighPreparation Time: 3–5 Days

⚡ Quick Preparation Snapshot

Role Fit:
7/10
Competition:
High
Interview Difficulty:
Medium
Freshers Friendly:
Yes
Remote:
No
Recommended:
Fresher Batch

🏢 Why Students Consider Celebal Technologies

✓ Advantages

  • Direct impact on product & business decisions
  • Cross-functional visibility across departments
  • Stepping stone to Data Science & ML tracks
  • Data-driven problem-solving exposure

⚠ Potential Challenges

  • Ad-hoc SQL report extraction requests
  • Manual cleaning of messy dataset pipelines

⚙️ Role Context & Recruiter Lens

Data Engineer is likely not just a keyword match. In real hiring, titles compress multiple operational expectations. You should read this listing as a signal of day-to-day team coordination and troubleshooting.

✓ What Recruiters Typically Evaluate

  • Advanced SQL queries (joins, windowing)
  • Analytical business metrics (churn, conversion)
  • Data visualization tool skills (PowerBI/Tableau)
  • Structured logical breakdown of case studies
  • Storytelling with quantitative numbers

❌ Common Mistakes Students Make

  • Applying with a generic resume that does not align with recommended skills.
  • Ignoring basic company research before the screening interview.
  • Using broken or inactive GitHub and portfolio showcase links.
  • Listing complex projects on the resume without being able to explain details.
  • Clicking apply without verifying batch eligibility or graduation cutoffs.

📅 30-Day Preparation Roadmap

Week 1: Advanced SQL Query Drills

Practice aggregation, subqueries, CTEs, and window functions on SQL platforms.

Week 2: Interactive Dashboard Build

Set up Tableau/PowerBI visual displays of public datasets to highlight trends.

Week 3: Business Metrics Analysis

Study indicators like user retention, conversion rates, and profit margin analysis.

Week 4: Case Study & Presentations

Practice explaining analytics trends simply to simulated business clients.

📈 Typical Hiring Journey Timeline

1. Application
Initial profile submission
2. Shortlisting
Recruiter resume screening
3. Assessment
Aptitude/coding test assessment
4. Interview
Technical & HR conversation rounds
5. Offer
Letter of intent & onboarding

Recommended Guides

✍️ Reviewed by: CampusToCareer Editorial Team📅 Last Updated: 13 June 2026✓ Fact Check Status: Verified