Lead Data Engineer (Java, Python, BigQuery)
TransUnion21 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Analyze and organize raw data.
- Build data systems and pipelines using GCP, BigQuery, GCS, Dataflow, and related tools.
- Evaluate business needs and objectives.
- Interpret trends and patterns and conduct complex data analysis.
- Prepare data for prescriptive and predictive modeling.
- Build algorithms and prototypes.
- Combine raw information from different sources.
- Improve data quality and reliability.
- Identify opportunities for data acquisition.
- Develop analytical tools and programs.
- Collaborate with data scientists and architects on projects.
Requirements
- Previous experience as a data engineer or in a similar role.
- GCP experience is required.
- Hands-on experience with BigQuery, GCS, Dataflow, and other data pipeline tools is required.
- Hands-on experience with programming languages such as Java and Python.
- Technical expertise with data models, data mining, and segmentation techniques.
- Hands-on experience with SQL and NoSQL database design.
- Strong numerical and analytical skills.
- GCP Data Engineering certification is a plus.
Benefits
- Hybrid work arrangement with regular virtual and in-person responsibilities and a minimum of two days per week in an assigned TransUnion office.
- Work/life flexibility and professional development resources are available.
Tech Stack
Categories
Data Engineering
About TransUnion
TransUnion is a global credit bureau and information-services company that provides credit data, identity verification, fraud prevention, and risk analytics to businesses and consumers. It sells data, APIs, and decisioning software used by lenders, insurers, telecoms, and other regulated industries, and offers consumer credit reports and monitoring. Founded in 1968 and headquartered in Chicago, it operates in more than 30 countries and is publicly traded on the NYSE under the ticker TRU.