Business Analyst - TEKsystems (Allegis Group Singapore Pte Ltd)

• Partner with business stakeholders to gather, analyse, and document requirements. • Translate business needs into structured data models, reporting specifications, • Facilitate discussions and align priorities across investment, risk, and reporting functions. About the Role We are seeking a Software Developer to join a high-performing enterprise data team responsible for delivering and supporting critical data ingestion capabilities across a large-scale data platform. This role is pivotal in re-architecting legacy data pipelines into modern, scalable systems and building robust backend services that support investment decision-making at scale. This role is ideal for engineers who take pride in clean, well-tested code, and want to play a part in large-scale data transformation . Responsibilities • Design and develop scalable Python backend services for data systems. • Build and maintain clean, modular, and test-driven code (unit and integration tests using TDD). • Design, develop, maintain, and enhance data ingestion pipelines supporting ongoing operational requirements. • Ingest and process data from external providers and internal sources into enterprise data platforms. • Support BAU operations, including monitoring, troubleshooting, maintenance, and issue resolution for production workloads. • Build enhancements to existing data engineering solutions and contribute to continuous platform improvements. • Transform legacy data pipelines into modern, maintainable architectures. • Collaborate closely with data engineers, backend engineers, and devops engineers for smooth deployments. • Ensure high code quality, readability, and maintainability following best practices. • Participate in code reviews, technical discussions, and agile ceremonies. Must-Have Skills: • 5+ years of experience in backend software engineering, primarily using Python . • Strong Python backend development experience. • Solid SQL skills and experience working with large-scale datasets. • Proficiency in writing unit and integration tests using TDD principles . • Experience with Python package management tools (Poetry, Conda, UV, Pip). • Experience supporting production data platforms and troubleshooting operational issues. Tech Stack & Tools • Languages: Python (required), SQL (required) • Database: Snowflake, Databricks • DevOps: Kubernetes, Docker, CI/CD • Testing: PyTest, TDD practices Nice-to-Have Skills: • Familiarity with Snowflake . • Working knowledge of Databricks (basic to intermediate level). • AWS cloud experience. • Kubernetes, Docker, and CI/CD pipelines • Financial services or regulated industry experience. • Exposure to modern data architecture and cloud-based data platforms. Why Join? • Work on large-scale, business-critical data platforms used across the organisation. • Gain exposure to modern technologies including Snowflake and Databricks. • Participate in platform modernisation initiatives aligned to the organisation's future AI roadmap. • Develop expertise in complex external data ingestion and enterprise-scale data operations. • Opportunity to make an immediate impact within a high-visibility, production-critical environment. We regret to inform that only shortlisted candidates will be notified EA Registration No: R25158204, Wong Lin, Rachel Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA Licence No. 10C4544