Python - Data Processing

About the job: Step into a role where your Python expertise directly powers reliable, high-quality data movement across systems. As part of a collaborative engineering team, you’ll help design and build scalable data processing solutions that enable faster insights and smoother operations. You’ll work closely with stakeholders to understand data needs, translate them into robust pipelines, and continuously improve performance and stability. This is a great opportunity for someone who enjoys solving real-world data challenges, values clean and maintainable code, and takes pride in delivering dependable systems. If you’re motivated by ownership, teamwork, and building data workflows that others can trust, you’ll feel right at home here. Technical Requirements: • Primary skills: Python - Data Processing/Technology->Big Data - Data Processing->PySpark,Technology->OpenSystem->Python - OpenSystem->Python Responsibilities: Key Responsibilities: • Build and maintain Python-based data processing components for structured and semi-structured datasets. • Develop and support ETL workflows to ingest, transform, validate, and load data into target systems. • Design and optimize SQL queries for data extraction, transformation, reconciliation, and reporting needs. • Implement reliable data pipelines with proper logging, error handling, retries, and monitoring hooks. • Perform data quality checks, anomaly detection rules, and reconciliation to ensure accuracy and completeness. • Troubleshoot pipeline failures and performance bottlenecks; drive root-cause analysis and permanent fixes. • Collaborate with cross-functional teams to gather requirements and deliver incremental improvements. • Maintain clear technical documentation for pipeline design, data mappings, and operational runbooks. Preferred Skills: Technology->OpenSystem->Python - OpenSystem->Python,Technology->Big Data - Data Processing->PySpark