TransUnion Associate Data Engineer Job 2026: Pune | Entry-Level Opportunity
TransUnion has listed an Associate Data Engineer opportunity in Pune, Maharashtra, for candidates interested in data engineering, big data platforms, data ingestion and data integration. The role is part of the Specialized Risk Group, which works on consumer information products used across multiple industries.
The supplied job description highlights entry-level experience requirements for several data engineering technologies, including Python, C/C++, PySpark and big data platforms. Candidates need a bachelor’s degree in Computer Science, Data Science, Physics or a related discipline. The position follows a hybrid work arrangement, with at least two days per week at an assigned TransUnion office.
Quick Job Snapshot
| Company | TransUnion |
| Role | Associate Data Engineer |
| Qualification | Bachelor’s degree in Computer Science, Data Science, Physics or a related discipline |
| Experience | Entry-level; requirements vary by skill, from 0 to 1+ years |
| Eligible Batch | Not specified in the supplied description |
| Salary | Not disclosed |
| Job Type | Not specified in the supplied description |
| Location | Pune, Maharashtra |
| Work Mode | Hybrid; minimum two days per week in the assigned office |
Role Overview
As an Associate Data Engineer, you will contribute to data engineering activities that support the quality, accuracy and delivery of TransUnion’s core products. The work involves learning the team’s big data environment, working with data technologies and collaborating with other technical teams to understand customer needs.
The role also offers exposure to complex algorithms and entity-linking algorithms. The job description expects successful candidates to build platform knowledge, contribute to team discussions and gradually develop the ability to help solve more complex technical problems.
Roles and Responsibilities
- Contribute to data ingestion, data analysis, data integration and data design activities.
- Work with big data platforms and technologies such as Hadoop, MongoDB, Cassandra, HPCC and Cloud Bigtable, where applicable.
- Use programming and data-processing technologies such as Python, C/C++, PySpark, PyDoop or PyScala as required.
- Work with Linux and relevant scripting technologies, including Bash or Perl.
- Collaborate with core technology teams and coordinate work responsibilities.
- Help improve the quality, accuracy and delivery of data used in TransUnion products.
- Learn the team’s big data environment and demonstrate basic platform knowledge during the initial 90 days.
- Expand technical knowledge and contribute innovative solutions to complex algorithms over time.
- Develop an understanding of entity-linking algorithms and their role in meeting customer needs.
Eligibility Criteria
- Education: Bachelor’s degree in Computer Science, Data Science, Physics or a related discipline.
- Data engineering: The description lists 0–1 years of experience with data ingestion, analysis, integration and design.
- Big data: The description lists 0–1 years of experience with platforms such as Hadoop, MongoDB, Cassandra, HPCC or Cloud Bigtable, and NoSQL approaches.
- Programming: The listing specifies zero years of experience with Python, C/C++, PySpark, PyDoop and/or PyScala, indicating these may be accessible to entry-level candidates.
- Linux and scripting: The description lists 1+ years of experience with Linux, Bash scripting and/or Perl.
- Collaboration: Candidates should be willing to learn, work with other technical teams and explore new techniques and technologies.
Important: Although this is an associate-level role, the description includes a 1+ year requirement for Linux and scripting. Freshers should review the official listing carefully and confirm whether they meet the complete requirements. Eligible graduation years, minimum marks and backlog rules are not specified in the supplied description.
Required Knowledge and Experiences
- Collaborative working: Be comfortable receiving technical feedback and working with a team across different technical areas.
- First 90 days: Learn the big data environment, demonstrate basic platform knowledge, become productive and contribute to team discussions.
- After 90 days: Expand knowledge of the big data environment and contribute innovative solutions to complex algorithms.
- Data quality: Help improve the accuracy and delivery of core products.
- Algorithm development: Build knowledge of entity-linking algorithms and contribute to solutions that address customer needs.
Salary Insights
The supplied job description does not disclose a salary range or compensation package. Candidates should check the official TransUnion careers page or ask the recruitment team about salary, benefits and any additional employment conditions.
Why Consider This Role?
- Big data exposure: Learn about data platforms and technologies used in data engineering.
- Programming development: Apply and strengthen skills in Python, C/C++, PySpark or related tools where relevant to the role.
- Real-world data challenges: Contribute to improving data quality, accuracy and delivery.
- Algorithm experience: Build knowledge of complex algorithms and entity linking.
- Hybrid work: The listing describes a hybrid arrangement with a minimum of two office days per week.
- Learning culture: The company highlights collaboration, innovation and professional development.
Recommended Learning Resources
- Python Course and Notes – revise programming basics and practise writing simple programs.
- SQL Course and Notes – learn database queries and foundational data-management concepts.
- Data Science Complete Course – review data analysis and related concepts.
Interview Preparation
- Data Analyst Roadmap for Beginners – review core data skills and preparation topics.
- SQL Interview Questions and Answers – practise database fundamentals.
Related Jobs
How to Apply
- Visit the official TransUnion careers listing using the button below.
- Read the complete job description and confirm that the vacancy is still open.
- Check the degree, experience and technical skill requirements carefully, especially the Linux and scripting requirement.
- Prepare an updated résumé highlighting relevant coursework, projects and practical experience with Python, Linux, Bash, SQL or big data technologies.
- Complete the online application and follow the instructions on the official careers website.
Frequently Asked Questions (FAQs)
1. Is the TransUnion Associate Data Engineer role suitable for freshers?
The description includes zero years of experience for certain programming technologies and 0–1 years for data and big data activities. However, it also lists 1+ years of experience with Linux and Bash scripting and/or Perl. Freshers should confirm their eligibility against the full requirements.
2. What qualification is required for this job?
A bachelor’s degree in Computer Science, Data Science, Physics or a related discipline is listed as the educational requirement.
3. What is the work mode and location?
The role is listed in Pune, Maharashtra, with a hybrid arrangement requiring at least two days per week at an assigned TransUnion office.
If your education and skills match the requirements, review the official job listing and submit your application if the vacancy is open. Share this opportunity with others interested in data engineering and big data careers.
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