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KEY ACCOUNTABILITIES & ACTIVITIES
This section describes the principal outputs required from the job.
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Key Accountabilities
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Key Activities
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- ETL Development & Enhancement
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- Design, develop, and maintain ETL processes to support enterprise reporting and analytics requirements.
- Develop scalable and reusable data integration components and workflows.
- Implement enhancements to existing ETL solutions to improve performance and reliability.
- Ensure ETL solutions comply with established data engineering standards and practices.
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- Data Integration Management
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- Develop and maintain integrations between enterprise applications, databases, external sources, and analytical platforms.
- Support data exchange requirements across multiple systems and business functions.
- Ensure reliable movement and transformation of data across integration environments.
- Troubleshoot and resolve integration-related issues and failures.
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- Data Pipeline Operations
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- Monitor, support, and maintain production data pipelines and scheduled processing jobs.
- Ensure timely execution and completion of critical data processing activities.
- Investigate operational incidents affecting data pipelines and implement corrective actions.
- Support operational continuity and service availability requirements.
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- Data Quality & Validation
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- Implement validation controls and data quality checks throughout data integration processes.
- Identify and resolve data inconsistencies, anomalies, and processing issues.
- Support initiatives aimed at improving data accuracy, completeness, and consistency.
- Collaborate with stakeholders to address data quality concerns.
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- Data Modeling & Database Support
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- Support the design and maintenance of data models that satisfy reporting and analytical requirements.
- Develop and optimize database queries, views, and supporting structures.
- Ensure database performance and scalability requirements are achieved.
- Contribute to enterprise data architecture initiatives when required.
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- Analytics & Reporting Enablement
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- Support business intelligence and reporting initiatives through trusted and accessible data sources.
- Prepare and maintain datasets required for dashboards, analytics, and business reporting.
- Collaborate with analysts and reporting teams to understand data requirements.
- Ensure data availability supports timely business decision-making.
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- Stakeholder Engagement & Requirements Support
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- Work closely with business users, analysts, and technology teams to understand integration requirements.
- Translate business requirements into technical data solutions.
- Support project teams through technical expertise in data integration and engineering.
- Provide ongoing support for data-related requests and enhancements.
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- Continuous Improvement & Automation
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- Identify opportunities to automate manual data integration and processing activities.
- Improve efficiency, reliability, and maintainability of data engineering solutions.
- Support adoption of best practices, development standards, and emerging technologies.
- Contribute to continuous improvement initiatives across the Data & Analytics function.
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- Policies, Processes & Procedures
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- Follow all relevant departmental policies, processes, standard operating procedures, and instructions so that work is carried out in a controlled and consistent manner.
- Comply with all relevant safety, quality, and environmental management policies, procedures, and controls to ensure a healthy and safe work environment.
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- Information Security
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- Comply with all relevant information security practices and standards to ensure data integrity and confidentiality.
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