Summary
✨ AI‑Generated
A technology-focused organization is seeking a data professional to design and maintain scalable data solutions. The role involves building pipelines, managing databases, improving data models, ensuring data reliability, and collaborating with cross-functional teams.
Highlights
Opportunity to build and optimize data systems, collaborate with technical teams, and improve data quality and accessibility for business analytics.
Description
About the Role
We are seeking a skilled Data Developer 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.
Key ResponsibilitiesDevelop and maintain data pipelines, databases, and ETL processesDesign and optimize data models for reporting and analyticsIntegrate data from multiple sources into centralized systemsMonitor and troubleshoot data-related issues and performance problemsCollaborate with analysts, engineers, and stakeholders on data requirementsEnsure data quality, consistency, and security standards are maintainedDocument data processes, workflows, and system configurationsQualificationsBachelor’s degree in Computer Science, Data Science, Information Technology, or related fieldPrevious experience in data development, database management, or data engineering rolesStrong knowledge of SQL, databases, and data integration processesFamiliarity with programming languages such as Python, Java, or ScalaExperience with ETL tools, cloud platforms, or big data technologies is an advantageStrong analytical and problem-solving skillsAbility to work independently and manage multiple technical tasksPreferred SkillsExperience with data warehousing and reporting systemsKnowledge of cloud platforms such as AWS, Azure, or Google CloudFamiliarity with Power BI, Tableau, or data visualization toolsUnderstanding of data governance and security best practicesBenefitsCompetitive salary and performance-based bonusesOpportunities for technical growth and professional developmentSupportive and collaborative work environmentExposure to modern data technologies and large-scale projectsFlexible or hybrid working arrangements
