Sr PySpark Developer | Lahore

**Company Description** Liztek is a Toronto\-based technology company that builds AI\-powered platforms for regulated and data\-intensive organizations, including banks, fintechs, telcos, and large enterprises. The company focuses on transforming complex compliance, reporting, and governance requirements into reliable, intelligent solutions. Liztek’s products—such as CompliNext, Finora, Compliverse, and Perfect Data—cover real\-time transaction monitoring, intelligent reporting, audit automation, and continuous data quality. Alongside its products, Liztek provides tailored consulting and Talent Grid resourcing to address specialized client needs. The organization combines deep domain expertise with design\-led engineering to help leaders move quickly without compromising security, governance, or regulatory integrity. **Role Description** This is a full\-time, on\-site Sr PySpark Developer role based in Lahore. The Sr PySpark Developer will design, build, and maintain scalable data processing pipelines using PySpark, focusing on large, complex datasets from regulated industries. The role includes optimizing Spark jobs for performance, reliability, and cost, as well as integrating data pipelines with existing back\-end services and data platforms. The developer will collaborate closely with data engineers, data scientists, and product teams to translate business and compliance requirements into robust technical solutions. Day\-to\-day tasks include writing clean, maintainable code, conducting code reviews, troubleshooting production issues, and contributing to architectural decisions and best practices for data engineering at Liztek. **Qualifications** * Strong foundation in Computer Science, including data structures, algorithms, and distributed systems concepts. * Proficiency in Back\-End Web Development and Software Development, with experience building APIs and data\-driven services. * Advanced Programming skills in Python, with extensive hands\-on experience in PySpark and Spark ecosystem tools. * Solid understanding and practical application of Object\-Oriented Programming (OOP) principles and design patterns. * Experience designing and optimizing ETL/ELT pipelines for large\-scale data processing in cloud or distributed environments. * Familiarity with SQL, data modeling, and performance tuning for analytical workloads. * Experience working in agile teams, using version control (e.g., Git) and CI/CD practices. * Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. * Strong problem\-solving skills, attention to detail, and ability to mentor junior developers. * Experience in financial services, fintech, or other regulated domains is a plus.