TransUnion is hiring an Associate Data Engineer for its data engineering team in Pune. The role is open to candidates with a bachelor’s degree in Computer Science, Data Science, Physics or a related discipline, along with the experience stated in the listing. The selected candidate will work on data ingestion, integration, big data platforms and entity linking algorithms that support TransUnion’s consumer information products. It is worth considering for early-career professionals who want hands-on exposure to complex data engineering systems, algorithms and a global technology environment.
Company Overview
TransUnion is a global information and insights company that helps businesses and consumers make more confident decisions through data. Its work covers credit information, marketing, fraud, risk and advanced analytics, with more than 12,000 associates operating across over 30 countries.
The company’s products are built around accurately representing consumers in the marketplace and enabling trusted transactions. Experience with TransUnion can add exposure to large-scale data products, information services and technology-led risk solutions on a global CV.
| Company Name | TransUnion |
| Job Role | Associate Data Engineer |
| Qualification | Bachelor’s degree in Computer Science, Data Science, Physics or a related discipline |
| Salary | Rs. 6-9 LPA (estimated) |
| Batch | Not stated |
| Job Location | Pune |
| Experience | 0-1 years |
| Employment Type | Full Time |
| Work Arrangement | Hybrid |
| Category | Freshers Job |
Role Overview
The Associate Data Engineer will join TransUnion’s Specialized Risk Group and contribute to the data engineering work behind consumer information products. The role combines data platform development, algorithmic problem-solving and collaboration with technical teams.
- Learn TransUnion’s big data environment and build a working understanding of its platform during the first 90 days.
- Contribute to data ingestion, analysis, integration and design activities.
- Work with big data platforms and NoSQL approaches used in data engineering.
- Develop and improve solutions for entity linking algorithms.
- Help improve the quality, accuracy and delivery of core products.
- Coordinate with other core technology teams to understand customer needs and support product development.
Eligibility & Qualifications
- Bachelor’s degree in Computer Science, Data Science, Physics or a related discipline.
- 0-1 years’ work experience with data ingestion, data analysis, data integration and data design.
- 0-1 years’ work experience with big data platforms such as Hadoop, MongoDB, Cassandra, HPCC or Cloud Bigtable, and/or NoSQL approaches such as key-value, document or tabular stores.
- 0 years’ work experience using Python, C++/C, PySpark, PyDoop and/or PyScala.
- 1+ years’ work experience with Linux, Bash scripting and/or PERL.
- Ability to work in a hybrid arrangement, including in-person responsibilities at the assigned office for a minimum of two days a week.
Key Responsibilities
- Build and support data ingestion, data integration and data design processes.
- Use big data technologies to support TransUnion’s data engineering environment.
- Improve the quality, accuracy and delivery of consumer information products.
- Develop innovative solutions for complex algorithms and entity linking use cases.
- Understand customer requirements and coordinate work with core technology teams.
- Become productive in the platform and contribute to team discussions within the initial 90-day period.
- Expand knowledge of the big data environment and demonstrate expertise in entity linking algorithms over time.
Skills Required
- Data ingestion, data analysis, data integration and data design.
- Knowledge of big data platforms such as Hadoop, MongoDB, Cassandra, HPCC or Cloud Bigtable.
- Understanding of NoSQL data approaches, including key-value, document and tabular stores.
- Python, C++/C, PySpark, PyDoop and/or PyScala.
- Linux, Bash scripting and/or PERL.
- Analytical thinking for developing solutions to complex algorithms.
- Collaboration with technical teams and an innovative approach to understanding customer needs.
- Willingness to learn new techniques and technologies.
Why Join TransUnion
TransUnion’s onboarding expectations provide a clear early learning path: candidates are expected to understand the big data environment, demonstrate platform knowledge and contribute to discussions within their first 90 days. With continued exposure, the role offers scope to work on complex algorithms, entity linking and solutions used in products serving customers across multiple industries.
How to Apply for TransUnion Hiring 2026
Eligible and Interested candidates can apply using the below-mentioned link before the link expires. Applicants need to register with the company portal in order to complete the registration process.
Apply Link: Click Here To Apply
