Risk & Fraud Data Engineer

1 week ago

Redmond, Washington, United States Programmers Full time

Position: Risk & Fraud Data Engineer

Location: Redmond, WA ( Onsite)

Job type : Fulltime

Job Description:

  • Experience with Risk Analysis and Fraud Detection is mandate.
  • Experience in data engineering, with at least 3 years working hands-on with
    PySpark
    ,
    Azure Data Factory
    , and
    Python
    in production environments.
  • Strong background in designing and implementing
    large-scale data pipelines
    , including batch and real-time ingestion for risk, fraud, or financial datasets.
  • Deep experience with
    PySpark
    for distributed data processing, data quality validation, data enrichment, feature engineering, and fraud-signal extraction.
  • Solid expertise in
    Azure Data Factory
    for orchestrating complex ETL/ELT workflows across multiple data sources.
  • Proficiency in
    Python
    for data processing, automation, API integration, anomaly-detection scripts, and model-ready dataset preparation.
  • Strong SQL skills, including query optimization, performance tuning, and working with both relational and non-relational stores such as
    Cosmos DB
    ,
    Kusto
    , or
    ADLS
    .
  • Good understanding of
    data warehousing
    , dimensional modeling, and data quality frameworks used in risk scoring and fraud detection systems.
  • Exposure to the broader
    Azure ecosystem
    such as Synapse, Databricks, EventHub, Service Bus, Key Vault, Functions, Monitor, Log Analytics, and other platform components used in risk and fraud architecture.
  • Familiarity with streaming architectures and patterns such as
    event-driven pipelines, near real-time scoring, and anomaly monitoring
    .
  • Experience working with
    high-volume, sensitive data
    while adhering to security, compliance, and privacy guidelines.
  • Strong analytical and problem-solving abilities, with the ability to troubleshoot complex data pipeline issues in a risk or fraud context.
  • Effective communication skills to work with engineering, analytics, and fraud operations teams.

Best Regards,

Dipendra Gupta

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