Wipro · 14 hours ago
Data Engineer
Wipro Limited is a leading technology services and consulting company focused on building innovative solutions for digital transformation. They are seeking a Risk & Fraud Data Engineer with expertise in data engineering, risk analysis, and fraud detection to design and implement large-scale data pipelines and workflows.
ConsultingInformation ServicesInformation TechnologySoftware
Responsibilities
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
Qualification
Required
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
Mandatory Skills: Windows Platform Engineering
Experience: 5-8 Years
Benefits
A full range of medical and dental benefits options
Disability insurance
Paid time off (inclusive of sick leave)
Other paid and unpaid leave options
Company
Wipro
Wipro is a technology services and consulting company focused on building solutions that address clients’ digital transformation needs.
H1B Sponsorship
Wipro has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2251)
2024 (2251)
2023 (2845)
2022 (2422)
2021 (2837)
2020 (2468)
Funding
Current Stage
Public CompanyTotal Funding
$2.29BKey Investors
Hasham TradersPremji InvestSociete Generale
2025-06-09Post Ipo Secondary· $590.71M
2024-11-08Post Ipo Secondary· $563.71M
2022-11-22Post Ipo Secondary· $31.65M
Leadership Team
Recent News
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