Database Developer (Onsite)

• Data Integration and Query Development
• Develop robust queries to pull data from external sources via APIs, ensuring accuracy, reliability, and efficient data extraction.
• Design, implement, and manage BigQuery databases to organize and store data optimally.
• Create and maintain ETL processes to support data ingestion, transformation, and integration from various data sources.
• Data Engineering and Management
• Build and maintain automated data pipelines, transforming data to support seamless integration across different platforms.
• Work with data engineering teams to design efficient data architectures, troubleshoot issues, and improve database performance.
• Regularly audit data structures and implement best practices in data security and management.
• Data Visualization and Frontend Development
• Develop engaging front-end interfaces to visualize data insights, allowing stakeholders to make data-driven decisions.
• Use JavaScript libraries like D3.js or Chart.js to create interactive, user-friendly data visualizations.
• Collaborate with UI/UX designers to ensure high-quality interfaces that enhance the user experience and data interpretation.
• Cross-Functional Collaboration and Support
• Work closely with data analysts, software engineers, and product managers to gather requirements and implement efficient data solutions.
• Provide technical training and mentorship to team members on GCP, BigQuery, and API integrations.
• Participate in code reviews, best practice sessions, and knowledge sharing to promote a high-quality development environment

• Education and Experience
• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field.
• Minimum of 3 years of experience as a Database Developer, Data Engineer, or similar role with a focus on cloud-based data solutions.
• Technical Skills
• BigQuery and GCP: Proficient in managing and optimizing data in BigQuery with comprehensive GCP experience.
• SQL: Advanced skills in writing and optimizing complex SQL queries.
• API Integration: Skilled in setting up API connections to retrieve data from external sources, handling API calls, and managing authentication.
• Data Engineering: Strong background in building and maintaining ETL pipelines and transforming data for analysis.
• Frontend Development: Proficient in JavaScript and data visualization libraries (e.g., D3.js, Chart.js) to build data interfaces.
• Version Control: Experience with Git or similar version control systems.
• Preferred Qualifications
• Experience with additional GCP services such as Google Cloud Storage, Cloud Functions, or Dataflow.
• Proficiency with data visualization platforms like Tableau or Looker.
• Familiarity with data warehouse architecture and best practices.
• Experience with Python or another scripting language used in data engineering.

• Analytical thinker with strong problem-solving abilities.
• Excellent communication skills for working with both technical and non-technical teams.
• Meticulous attention to detail, ensuring data accuracy and reliability.
• Self-motivated and adaptable, able to work efficiently in a dynamic, team-oriented environment.

While we would really like to respond to every application, should you not be contacted for this position within 10 working days please consider your application unsuccessful.