Data Platform Engineer (Ref 26131)

Responsibilities • Responsible for designing, building, and maintaining scalable data infrastructure and pipelines that support analytics, reporting, and machine learning initiatives. • Data Pipeline Development: Build robust ETL/ELT pipelines to ingest, transform, and load data from diverse sources (e.g., databases, APIs, files) • Architecture & Integration: Design scalable data architectures and integrate systems using tools like Spark, Kafka, Talend, Informatica, or Denodo • Data Quality & Governance: Implement data cleansing, profiling, classification, and governance policies to ensure accuracy, security, and compliance • Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand data needs and deliver tailored solutions • Monitoring & Troubleshooting: Monitor data workflows, troubleshoot issues, and optimize performance across systems • Documentation: Maintain comprehensive documentation for data processes, workflows, and system configurations Requirements • Bachelor's degree or higher in Computer Science Engineering, or a related field. • At least 1 years of relevant working experiences in SQL, Python or Java • Strong technical expertise, problem-solving skills, and cross-functional collaboration to ensure data is accessible, reliable, and actionable. Licence no: 12C6060

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