Sr. Consultant - Data Engineering

About the role

As part of our Fraud Prevention organization, you will work with talented data scientists, engineers, product leaders, and fraud experts to build and scale data platforms that support advanced fraud analytics, machine learning, and real-time decisioning solutions.

What you'll do

• As a Data Engineer supporting Fraud Solutions, you will be responsible for designing, developing, and maintaining robust data pipelines, data products
• Lead the global technical development, deployment, and maintenance of Cyber Defense data ecosystem, using the latest data programming languages and visualization tools
• This includes optimizing ‘big data’ data pipelines, architectures and data sets to enhance anomaly detection tools
• Design, build, and optimize scalable batch and real-time data pipelines supporting fraud detection and risk analytics
• Partner with Data Scientists to operationalize fraud models and analytical solutions in production environments

What you need

• 2–5 years in data science & ai
• SQL
• ETL
• Python
• Spark
• Data warehousing
• Data modelling
• B.Sc or B.Tech or B.E. or BCA

Good to have

• GCP
• Machine learning
• CI/CD
• Test automation
• Scala
• Reconciliation