Job Details
- Company: TransUnion
- Job Position: Associate Data Engineer
- Job ID: 19041633
- Location: Pune, Maharashtra, India
- Qualification: Bachelor’s Degree in Computer Science, Data Science, Physics, or a related discipline
- Experience: 0–1 year in relevant data engineering areas; Linux, Bash scripting, or Perl experience of 1+ years is mentioned in the job description
- Work Mode: Hybrid, with at least two days per week in the office
- Employment Type: Full-time
- Department: Data Development / Specialized Risk Group
- Estimated Salary: ₹5 LPA – ₹9 LPA. This is an indicative estimate for an associate-level data engineering role in Pune; the actual salary has not been disclosed in the supplied job description.
Job Overview
TransUnion is looking for an Associate Data Engineer to join its data engineering team in Pune. The role involves working with data ingestion, data integration, data analysis, and big data technologies to improve the quality and accuracy of the company’s products. Candidates may work with technologies such as Python, Linux, Hadoop, MongoDB, Cassandra, and other data platforms. The position is suitable for early-career professionals who have a relevant technical degree, foundational programming knowledge, and an interest in solving data-related problems. Employees will collaborate with technology teams and gradually develop expertise in big data systems and entity-linking algorithms.
Key Responsibilities
- Support data ingestion and integration activities.
- Analyse data to improve its quality, accuracy, and reliability.
- Work with big data platforms and data storage technologies.
- Assist in designing and developing data solutions.
- Use programming languages and tools such as Python and PySpark where required.
- Work with Linux environments and scripting tools.
- Help develop and maintain data processing workflows.
- Contribute to solutions for complex data and algorithm-related problems.
- Support the development and improvement of entity-linking algorithms.
- Identify opportunities to improve data delivery and processing efficiency.
- Collaborate with other technology teams on shared responsibilities.
- Understand customer requirements and help deliver suitable technical solutions.
- Learn the company’s big data environment and internal platforms.
- Participate in technical discussions and share ideas for improvements.
- Contribute to ongoing product development and support activities.
Eligibility Criteria
- Candidates must have a bachelor’s degree in Computer Science, Data Science, Physics, or a related field.
- Applicants should have 0–1 year of experience in data ingestion, data analysis, data integration, or data design.
- Candidates should have foundational knowledge of big data platforms or NoSQL databases.
- Applicants should understand programming concepts and be willing to work with relevant development tools.
- The job description mentions 1+ years of experience with Linux, Bash scripting, or Perl.
- Candidates should have good analytical and problem-solving abilities.
- Applicants must be comfortable working collaboratively with technical teams.
- Candidates should be willing to learn new technologies and techniques.
- Applicants should be comfortable with a hybrid work arrangement in Pune.
- Candidates should be interested in data engineering, big data, and algorithm development.
Required Skills
- Python programming fundamentals.
- Knowledge of data ingestion and data integration.
- Understanding of data analysis and data design.
- Familiarity with big data technologies such as Hadoop.
- Basic knowledge of NoSQL databases such as MongoDB and Cassandra.
- Understanding of key-value, document, or tabular data storage approaches.
- Knowledge of Linux operating systems.
- Bash scripting or Perl experience.
- Familiarity with PySpark, C++, C, PyDoop, or PyScala is beneficial.
- Strong analytical and logical thinking.
- Understanding of data quality and accuracy.
- Problem-solving and algorithmic thinking.
- Good communication and collaboration skills.
- Ability to coordinate work with other technical teams.
- Willingness to learn new tools and technologies.
Why Join TransUnion?
- Work with a globally recognised company specialising in information and data solutions.
- Gain practical experience in data engineering and big data technologies.
- Develop programming and data processing skills.
- Learn how data quality contributes to products used across multiple industries.
- Work with experienced technology professionals.
- Build knowledge of data integration, storage systems, and algorithm development.
- Improve problem-solving skills by working on real technical challenges.
- Explore emerging tools and technologies in data engineering.
- Benefit from a collaborative work environment that supports professional development.
- Build a foundation for future opportunities in data engineering, big data development, and data platforms.
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