Data Developer

About the Role

We are looking for a proficient Data Developer to architect, build, and sustain data systems and pipelines that underpin business operations and support analytics functions. This position requires collaborating closely with both technical teams and business stakeholders to guarantee data accuracy, accessibility, and optimal performance.

Key Responsibilities

• Construct and maintain data pipelines, databases, and ETL workflows
• Develop and enhance data models to support reporting and analytical needs
• Combine data from diverse sources into consolidated systems
• Monitor data systems to identify and resolve issues affecting performance and reliability
• Work jointly with analysts, engineers, and stakeholders to understand and fulfill data requirements
• Maintain data quality, uniformity, and security standards across systems
• Prepare comprehensive documentation for data processes, workflows, and system configurations

Qualifications

• Bachelor’s degree in Computer Science, Data Science, IT, or a related discipline
• Prior experience in data development, database administration, or data engineering roles
• Strong command of SQL, database technologies, and data integration methodologies
• Proficiency in programming languages like Python, Java, or Scala
• Experience with ETL tools, cloud services, or big data platforms is beneficial
• Excellent analytical and problem-solving capabilities
• Ability to handle multiple technical responsibilities independently

Preferred Skills

• Background in data warehousing and reporting frameworks
• Familiarity with cloud providers such as AWS, Azure, or Google Cloud Platform
• Experience with data visualization tools including Power BI and Tableau
• Knowledge of data governance and security standards and practices

Benefits

• Attractive salary package coupled with performance-based incentives
• Opportunities for career advancement and technical skill development
• Supportive workplace culture fostering collaboration
• Engagement with advanced data technologies and large-scale data initiatives
• Flexible working hours or hybrid work options