26-091 Sr. Data Developer

JOB FUNCTION

• The role leads the development and architecture of data pipelines models and automation across data sources.
• It works in agile teams and collaborates across business and technology partners to deliver resilient reliable and governed data infrastructure.

JOB DUTIES

• Pipeline Development: Design and develop scalable ELT/ETL pipelines using cloud-native tools.
• Data Modeling: Implement dimensional models and integrate data sources for BI/reporting.
• Security & Quality: Apply data security best practices and quality checks across the pipeline.
• Performance Optimization: Tune queries and jobs for speed and reliability.
• Tooling and Automation: Build CI/CD pipelines reusable modules and automation scripts.
• Cross-Functional Collaboration: Work with analysts architects and other developers to deliver cohesive data solutions.
• Documentation and Metadata: Maintain documentation and contribute to enterprise metadata/catalog tools.
• Agile Execution: Lead user story delivery and actively participate in sprint planning and retrospectives.
• Support and Monitoring: Provide Tier 2 support and monitor pipeline health proactively.
• Innovation and Improvement: Identify and implement enhancements to improve system scalability and user satisfaction.

EDUCATION

• Role requires knowledge to design develop and optimize data solutions using SQL Python Spark and Azure services.
• This knowledge is considered to be normally acquired either through the successful completion of a four-year university education in Computer Science Software Engineering or another related discipline.

EXPERIENCE

• Experience in data development with strong fluency in SQL Python Spark and Azure services is required.
• A period of 6-8 years is considered necessary to gain this experience