Job Description
• 2–3 years of hands-on experience in Data Engineering
• Strong experience in Python and PySpark/Spark for large-scale data processing
• Experience working with Databricks and Delta Lake architecture
• Good understanding of SQL (PostgreSQL) and NoSQL databases (MongoDB, Redis)
• Exposure to Kafka Streaming or real-time data processing frameworks
• Experience with Azure or AWS cloud platforms
• Understanding of data partitioning, performance tuning, and in-memory optimizations
• Experience working in Linux/Unix environments
• Knowledge of CI/CD pipelines and production deployment practices
• Familiarity with REST APIs and application development concepts
• Understanding of software design patterns and system architecture
• Exposure to multi-user data platforms and access management
• GenAI exposure (preferred): understanding of LLM workflows, prompt versioning, evaluation frameworks
Experience: 3-5 Years .
The expected compensation for this role ranges from $45,000 to $121,000 .
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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