Python and PySpark Developer

Python, Pyspark Developer

Technology->Analytics - Packages->Python - Big Data,Technology->Big Data - Data Processing->PySpark • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience). • 5–9 years of hands-on experience in software development and/or data engineering roles. • Strong proficiency in Python with experience building production-grade applications or data workflows. • Strong proficiency in PySpark, including DataFrame APIs, optimization techniques, and distributed processing concepts. • Working knowledge of SQL for complex queries, data analysis, and validation. • Experience delivering reliable solutions with attention to performance, scalability, and maintainability. • Design, develop, and maintain scalable batch/stream data pipelines using Python and PySpark in distributed environments. • Implement efficient transformations, aggregations, and joins on large datasets while ensuring performance and cost optimization. • Write optimized SQL for data extraction, validation, and reconciliation across multiple sources. • Build reusable, testable modules and follow engineering best practices (code reviews, unit testing, documentation). • Troubleshoot production issues, perform root-cause analysis, and implement long-term fixes and monitoring improvements. • Collaborate with stakeholders to translate requirements into technical designs, delivery plans, and measurable outcomes. • Ensure data quality through validation checks, anomaly detection patterns, and consistent schema management. • Contribute to continuous improvement of development standards, performance benchmarks, and pipeline reliability.