Lead Data Engineer (Java, Python, BigQuery)
Bengaluru
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
We are looking for the right individual to embrace the opportunity to tackle challenging problems and use their influence to drive continual improvement. You will use various methods to transform raw data into useful data systems. For example, you’ll create algorithms and conduct statistical analysis. Overall, you’ll strive for efficiency by aligning data systems with business goals. To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods.

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. Role Overview And Core Responsibilities Responsibilities
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingAnalyse and organize raw data
Build algorithms and prototypes
Develop analytical tools and programs
From the employer’s posting
Responsibilities Analyse and organize raw data Build data systems and pipelines
Prepare data for prescriptive and predictive modelling Build algorithms and prototypes Combine raw information from different sources
Identify opportunities for data acquisition Develop analytical tools and programs Collaborate with data scientists and architects on several projects
Tools in this posting
- Java
- Python
- SQL
- BigQuery
- Google Cloud Storage
- NoSQL
Source — Tool mentions in context
- Experience with Big query, GCS, Dataflow and other tools and techniques used for building pipeline is a must - Good hands on experience in programming languages (e.g. Java and Python)\ - Technical expertise with data models, data mining, and segmentation techniques
- Technical expertise with data models, data mining, and segmentation techniques - Hands-on experience with SQL and NoSQL database design - Great numerical and analytical skills
- GCP experience is a must for this role - Experience with Big query, GCS, Dataflow and other tools and techniques used for building pipeline is a must - Good hands on experience in programming languages (e.g. Java and Python)\
Posting record
Report an errorActively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 22, 2026 · 6 days ago
- Recorded sightings
- 24
- Last seen by us
- Oct 28, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
TransUnion's Job Applicant Privacy Notice
Team Overview
We are looking for the right individual to embrace the opportunity to tackle challenging problems and use their influence to drive continual improvement. You will use various methods to transform raw data into useful data systems. For example, you’ll create algorithms and conduct statistical analysis. Overall, you’ll strive for efficiency by aligning data systems with business goals.To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods.

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.
Role Overview And Core Responsibilities
Responsibilities
Analyse and organize raw data
Build data systems and pipelines
Evaluate business needs and objectives
Interpret trends and patterns
Conduct complex data analysis and report on results
Prepare data for prescriptive and predictive modelling
Build algorithms and prototypes
Combine raw information from different sources
Explore ways to enhance data quality and reliability
Identify opportunities for data acquisition
Develop analytical tools and programs
Collaborate with data scientists and architects on several projects
Required Knowledge And Experiences
Requirements and skills
Previous experience as a data engineer or in a similar role
GCP experience is a must for this role
Experience with Big query, GCS, Dataflow and other tools and techniques used for building pipeline is a must
Good hands on experience in programming languages (e.g. Java and Python)\
Technical expertise with data models, data mining, and segmentation techniques
Hands-on experience with SQL and NoSQL database design
Great numerical and analytical skills
GCP Data engineering certification is a plus
TransUnion Overview:
At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver’s seat of their professional development— while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that’s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.
Be a part of our Workforce for Good – you’ll work with great people, pioneering products and cutting-edge technology.
TransUnion Job Title
Lead Engineer, Data Development
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bengaluru
We are looking for the right individual to embrace the opportunity to tackle challenging problems and use their influence to drive continual improvement. You will use various methods to transform raw data into useful data systems. For example, you’ll create algorithms and conduct statistical analysis. Overall, you’ll strive for efficiency by aligning data systems with business goals. To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods.

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. Role Overview And Core Responsibilities Responsibilities
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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