Data Platform Engineer

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 #J-18808-Ljbffr