Job Description
We are seeking a Data Engineer. This role is centered around designing, implementing, and optimizing data solutions within an Azure environment, with a focus on developing and maintaining Azure Data Factory pipelines, SQL Managed Instances, and integrating disparate data sources to support a data-driven organization.
Responsibilities:
• Architect and implement data models optimized for reporting, supporting a denormalized structure and star schema for business intelligence.
• Create and maintain Azure Data Factory pipelines to integrate and transform data from various sources.
• Ensure data solutions are scalable and aligned with the needs of the business.
• Deliver complex projects on schedule, proactively identifying and mitigating gaps and risks.
• Collaborate with stakeholders to comprehend data requirements and translate them into effective solutions.
• Increase query performance and data processing efficiency within Azure SQL stack.
• Manage data integration and ETL/ELT processes.
• Utilize Azure DevOps for managing data pipelines, deployments, and version control.
• Troubleshoot data-related issues, proactively identifying and resolving problems.
• Combine a deep understanding of Azure technologies with experience to define and implement data architecture strategies that align with business goals and technology roadmaps.
• Ensure data security best practices are implemented, maintaining compliance with regulations.
• Lead the creation of collateral, including reference implementations and best practices.
• Foster a problem-solving culture that resolves issues in a timely manner and through collaboration.
• Serve as a technical mentor to entry level teammates.
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