Essential Duties and Responsibilities:
Including, but are not limited to:
Design, develop, and maintain high-quality, secure data pipelines and processes to manage and transform data efficiently.
Lead the architecture and implementation of data models, schemas, and integrations that support business intelligence and reporting needs.
Collaborate with cross-functional teams to understand data requirements and deliver optimal data solutions that align with business goals.
Maintain and enhance data infrastructure, including data warehouses, lakes, and integration tools.
Provide guidance on best practices for data management, security, and compliance.
Support Power BI and other visualization tools, ensuring consistent and reliable access to data insights.
Oversee the delivery of data initiatives, ensuring they meet project milestones, KPIs, and deadlines.
Education and Training Required:
Bachelor’s degree in Computer Science, Data Science, or a related field, or equivalent experience.
Minimum Experience:
5+ years of experience in data engineering or related fields.
2+ years of experience with Power BI or similar data visualization tools.
Knowledge and Skills:
Proficiency with data engineering tools and technologies (e.g., SQL, Python, ETL tools).
Strong experience with Power BI for data visualization and reporting.
Familiarity with cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
Experience with data modelling, data warehousing, and designing scalable data architectures.
Strong knowledge of database systems (e.g., SQL Server, Oracle, PostgreSQL).
Experience working in an Agile development environment.
Excellent communication skills to work effectively with both technical and non-technical stakeholders.
Ability to multi-task and manage multiple projects simultaneously.
Problem-solving mindset with a desire to continuously improve data processes.
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