<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <strong>About the Role</strong><p>We are seeking a skilled <strong>Data Developer</strong> to design, develop, and maintain data systems and pipelines that support business operations and analytics. You will work closely with technical and business teams to ensure data accuracy, accessibility, and performance.</p><strong>Key Responsibilities</strong><ul><li>Develop and maintain data pipelines, databases, and ETL processes</li><li>Design and optimize data models for reporting and analytics</li><li>Integrate data from multiple sources into centralized systems</li><li>Monitor and troubleshoot data-related issues and performance problems</li><li>Collaborate with analysts, engineers, and stakeholders on data requirements</li><li>Ensure data quality, consistency, and security standards are maintained</li><li>Document data processes, workflows, and system configurations</li></ul><strong>Qualifications</strong><ul><li>Bachelor’s degree in Computer Science, Data Science, Information Technology, or related field</li><li>Previous experience in data development, database management, or data engineering roles</li><li>Strong knowledge of SQL, databases, and data integration processes</li><li>Familiarity with programming languages such as Python, Java, or Scala</li><li>Experience with ETL tools, cloud platforms, or big data technologies is an advantage</li><li>Strong analytical and problem-solving skills</li><li>Ability to work independently and manage multiple technical tasks</li></ul><strong>Preferred Skills</strong><ul><li>Experience with data warehousing and reporting systems</li><li>Knowledge of cloud platforms such as AWS, Azure, or Google Cloud</li><li>Familiarity with Power BI, Tableau, or data visualization tools</li><li>Understanding of data governance and security best practices</li></ul><strong>Benefits</strong><ul><li>Competitive salary and performance-based bonuses</li><li>Opportunities for technical growth and professional development</li><li>Supportive and collaborative work environment</li><li>Exposure to modern data technologies and large-scale projects</li><li>Flexible or hybrid working arrangements </li></ul> </div>