Job Title

Data DeveloperKey responsibilities• Process complex financial data – Handle large-scale financial datasets from multiple sources, including banks, payment gateways and processors, ensuring data integrity across different formats and structures.• Build and maintain complex pipelines – Develop and optimise pipelines that apply intricate business rules, financial calculations and transformations for accurate transaction processing.• Time-bound and event-driven processing – Design event-driven architectures to meet strict SLAs for transaction processing, settlement and reconciliation with banks and payment partners.• Enable reporting and AI insights – Structure and prepare data for advanced analytics, reporting and AI-driven insights to improve payment success rates, detect fraud and optimise transaction flows.What you'll bring• Programming: Strong proficiency in Python and OOPS concepts, should be able to write modularise and structured code and should be an excellent problem solver.• Big data technologies: Hands-on experience with frameworks like Spark (PySpark), Kafka, Apache Hudi, Iceberg, Apache Flink or similar tools for distributed data processing and real-time streaming.• Cloud platforms: Familiarity with cloud platforms like AWS, Google Cloud Platform (GCP), or Microsoft Azure for building and managing data infrastructure.• Data warehousing and modeling: Strong understanding of data warehousing concepts and data modeling principles.• ETL frameworks: Experience with ETL tools such as Apache Airflow or comparable data transformation frameworks.• Data lakes and storage: Proficiency in working with data lakes and cloud-based storage solutions like Amazon S3, Google Cloud Storage, or Azure Blob Storage.• Version control: Expertise in Git for version control and collaborative coding.• Handling Complex System: Expertise in working with complex systems and building complex system from scratch, should have good exposer in solving complex problems.Experience and requirements• Bachelor’s degree in Computer Science, Information Technology, or equivalent experience.• 1–5 years of experience in data engineering, ETL development, or database management.• Prior experience in cloud-based environments (e.g., AWS, GCP, Azure) is highly desirable.• Proven experience working with complex systems and building complex system from scratch, with a focus on performance tuning and optimisation.