About
3–6 years of experience as a Data Engineer with strong Python and PySpark expertise Experience building scalable ETL/ELT pipelines in big data environments Strong understanding of KYC/AML and Client Onboarding domains Hands‑on experience with Spark, Hadoop, Kafka, and cloud platforms Solid knowledge of SQL and NoSQL databases Mandatory Skills: Python for Data Science Experience: 5-8 Years Key Responsibilities
Design, develop, and maintain scalable data pipelines Process large volumes of structured and unstructured data Implement KYC/AML data solutions supporting client lifecycle management Optimize Spark jobs for performance and reliability Collaborate with cross‑functional agile teams and stakeholders 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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Languages
- English
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