Sr. Consultant - Data Engineering
TransUnion (company site, opens in a new tab)2+ yrsChennaiOn-siteDirect career pageEst. 6–12 LPA
Posted 8h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design, development, and maintenance of scalable batch and real-time data pipelines for fraud detection and risk analytics within TransUnion's Cyber Defense data ecosystem.
- Collaborate with data scientists to operationalize fraud models and deliver data products including ETL/ELT workflows, dashboards, and monitoring tools to detect fraud and regulatory violations.
- Optimize platform performance and reliability on cloud environments, troubleshoot pipeline issues, and document architecture and best practices to ensure high availability and operational excellence.
Minimum Requirements
- Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data Engineering, or related technical discipline.
- Minimum 2 years of experience in data engineering, software engineering, or large-scale data platform development.
- Experience with Google Cloud Platform (GCP), SQL, Python or Scala, ETL/ELT pipeline design, and distributed data processing frameworks such as Spark/PySpark.
- Knowledge of data warehousing, data quality controls, DevOps practices including CI/CD, and business intelligence development lifecycle.
Ideal Candidate Profile
- Experienced in building and managing enterprise-scale fraud detection data platforms and analytics solutions within cloud ecosystems, particularly GCP.
- Capable of collaborating cross-functionally with data scientists, product, engineering, cybersecurity, and fraud teams to translate business needs into technical solutions.
- Skilled in designing automation and reusable frameworks that accelerate fraud analytics and model deployment with a strong focus on operational excellence.