PySpark Developer

**Company Description** Liztek is a Toronto\-based technology company that builds AI\-driven intelligence platforms for regulated and data\-intensive organizations, including banks, fintechs, telcos, and large enterprises. The company transforms complex compliance and reporting requirements into trusted, AI\-powered systems that support governance, security, and regulatory integrity. Liztek’s product suite includes CompliNext, Finora, Compliverse, and Perfect Data, along with specialized consulting and Talent Grid resourcing services. By combining deep domain expertise with design\-led engineering, Liztek enables leaders to move quickly while maintaining robust oversight and control. The organization focuses on real\-time transaction monitoring, intelligent reporting, audit automation, and continuous data quality to help clients protect and grow their business. **Role Description** This is a full\-time, on\-site PySpark Developer role based in Lahore. The PySpark Developer will design, build, and optimize data pipelines and ETL processes using PySpark and related big data tools. Responsibilities include integrating data from multiple sources, implementing data quality checks, and ensuring performance, scalability, and security of data workflows. The role involves collaborating with data engineers, data scientists, and product teams to support AI\-driven compliance and reporting solutions, and to translate business requirements into reliable technical implementations. The PySpark Developer will also participate in code reviews, contribute to best practices, and help maintain documentation for data processes and systems. **Qualifications** * Strong foundation in Computer Science, including data structures, algorithms, and database concepts. * Proficiency in Software Development and Programming, with hands\-on experience in Python and PySpark. * Experience in Back\-End Web Development, including building and integrating APIs and services with data pipelines. * Solid understanding of Object\-Oriented Programming (OOP) principles and their application in scalable data solutions. * Experience with big data ecosystems (e.g., Spark, Hadoop, Kafka) and distributed computing. * Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and modern DevOps practices is an advantage. * Ability to translate business and regulatory requirements into technical designs and production\-grade data workflows. * Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. * Strong communication skills and the ability to work effectively in cross\-functional, on\-site teams.