Senior Consultant – Data Engineering

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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TransUnion

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1968

💼 Consulting

📣 Marketing

📦 Logistics

💰 Post-IPO Debt on 2018-04

Consulting • Marketing • Logistics

TransUnion is a global credit information and insights company based in the United States. It offers a range of products and services related to credit monitoring, identity theft protection, and credit report management, including free annual credit reports, fraud alerts, and credit freezing services. TransUnion uses the VantageScore® 3. 0 model to provide credit scores, although lenders may use different models to assess creditworthiness. It provides powerful tools for consumers to manage and understand their credit health, such as credit monitoring with alerts and ID theft insurance. TransUnion serves various industries, including financial services, automotive, and media, and is committed to financial inclusion, data security, and consumer privacy. It also provides business solutions for credit portfolio management, customer acquisition, debt recovery, and fraud prevention.

📋 Description

• Lead global technical development, deployment, and maintenance of the Cyber Defense data ecosystem • Optimize big data pipelines, architectures, and datasets to enhance anomaly detection tools • Design, build, and optimize scalable batch and real-time data pipelines for fraud detection and risk analytics • Partner with Data Scientists to operationalize fraud models and analytical solutions in production • Build and manage ETL/ELT workflows for structured and unstructured data • Design, develop, and publish charts and dashboards for potential fraud and regulatory violation alerts • Ensure data quality, governance, lineage, observability, and monitoring across fraud data ecosystems • Develop reusable frameworks and automation tools for fraud analytics and model deployment • Collaborate with product, engineering, cybersecurity, and fraud teams on scalable technical solutions • Support streaming architectures for near real-time fraud detection and decisioning • Optimize platform performance, reliability, and cost efficiency across cloud environments • Troubleshoot complex data and pipeline issues • Document architecture, technical standards, and engineering best practices • Automate department tools and technology to improve efficiency and productivity

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data Engineering, or related technical discipline • 2 years of experience in data engineering, software engineering, or large-scale data platform development • Expertise performing data engineering work within the Google Cloud Platform (GCP) ecosystem • Experience designing and developing dashboards in visualization tools • Understanding of data warehousing concepts and technologies • Strong SQL expertise • Advanced proficiency in Python or Scala • Experience designing and maintaining enterprise-scale ETL/ELT pipelines • Hands-on experience with Spark/PySpark • Experience with large-scale datasets and cloud-native data platforms • Understanding of data architecture, dimensional modeling, and advanced database concepts • Experience implementing data quality controls, reconciliation processes, and monitoring frameworks • Knowledge of CI/CD, automated testing, source control, and DevOps principles • Understanding of the business intelligence development life cycle • Ability to lead collaboration discussions to gather needs for BI solutions • Strong communication and stakeholder management skills

🏖️ Benefits

• Work/life flexibility • Professional development support and resources • Opportunities to grow, innovate, and contribute • Collaboration with global teams • Access to pioneering products and cutting-edge technology