Job Description
Position: Data Engineer
Job Description:
- Experience with Risk Analysis and Fraud Detection is mandate.
- Experience in data engineering, with 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.
Experience: 5-8 Years .
The expected compensation for this role ranges from $60,000 to $135,000 .
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.
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