Junior Data Engineer

Posted by:

DnT Infotech LLP

Location:
  • Ahmedabad, Gujarat (5)

    0-2 Yrs

    18,000 / Monthly

    Posted: days ago

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    Job Highlights

    Role

    Industry

    • Information Technology and Services

      Job Type

      Full-time

      Openings

      Applicants

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      Closing soon

      Job Overview

      Job Role - Junior Data Engineer (0–2 Years)

       

      Location: Ahmedabad, Gujarat (Hybrid)

       

      About the Role:

      We are looking for a Junior Data Engineer to join a high-impact global project for one of the largest cargo airline groups. You will play a key role in building a modern Data Lakehouse platform using cutting-edge cloud and data technologies.

      This is an excellent opportunity for early-career professionals to gain hands-on experience in data engineering, cloud platforms, and analytics systems.

       

      Key Responsibilities

      Design, develop, and maintain data pipelines (ETL/ELT)

      Write and optimize SQL queries for data transformation and analysis

      Integrate data from databases, APIs, files, and third-party systems

      Contribute to data warehouse and data lake architecture development.

      Ensure data quality, validation, and reliability across systems.

      Monitor, troubleshoot, and improve data pipeline performance.

      Collaborate with analytics and AI teams to deliver clean, model-ready datasets.

      Document data workflows, pipelines, and system architecture.

       

      Required Qualifications & Skills

      Bachelor’s degree in Computer Science, IT, Data Science, or related field

      0–2 years of experience in Data Engineering or a related domain.

      Strong proficiency in SQL for querying and data manipulation.

      Understanding of ETL processes and data integration techniques.

      Knowledge of data modeling and data warehouse concepts.

      Basic programming knowledge in Python.

      Strong analytical, problem-solving, and communication skills.

      Ability to work effectively in a collaborative team environment.

       

      Preferred Skills (Good to Have)

      Experience with cloud platforms: AWS / Azure / GCP.

      Familiarity with ETL/Data tools: Talend, Airflow, dbt, Informatica.

      Understanding of Data Lakes and modern data architectures.

      Exposure to REST APIs and JSON data handling.

      Knowledge of Big Data technologies (Spark, Hadoop).

      AI / ML Exposure (Plus)

      Basic understanding of AI/ML concepts

      Experience working with large datasets for analytics or ML.

      Familiarity with Python libraries like Pandas and NumPy.

      Knowledge of data preparation and feature engineering.

       

      Interview Process

      Round 1: Technical Interview (SMEs) – Coding + Scenario-based evaluation

      Round 2: Technical + Managerial Discussion – Project deep dive

      Round 3: Cultural Fit Discussion (Founders)

      HR Round: Offer, salary discussion, and onboarding.pdf) [JD_Jr. Dat...Years (5) | PDF]

       

      What We Offer

      Flexible working hours

      Hybrid work culture

      Continuous learning & development opportunities

      Exposure to latest technologies and global projects

      Friendly, inclusive, and growth-oriented work environment.

       

      Why Join Us?

      At DnT Infotech, you’ll work on cutting-edge data platforms, collaborate with industry experts, and grow your career in a fast-paced, innovation-driven environment.

       

      NOTE - After Offer Rollout - 1st 6 Month Training and 15,000 Rs Salary per Month and After 6 Month 18,000 Rs salary per Month till 1 Year.

      Preferred Qualifications

      • Bachelor’s degree in Computer Science, IT, Data Science, or related field

      Key Skills

      1/5 of your skills match for this job

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      Role-Specific

      Qualification

      • Bachelor of Science (B.Sc) - Computer Science
      • Bachelor of Technology (B.Tech) - Information Technology

      Benefits

      Eligibility


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      Journey

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      Application Date

      2026-06-02 00:00:00.0

      2026-08-31 00:00:00.0

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