
Chief Data Architect
1 week ago
Data Engineer Position
About the RoleThis key role involves creating, developing, and optimizing complex data architectures to support business needs.
- Create scalable data pipelines, ETL processes, and data integration solutions using SQL Server, Azure Data Factory, and Databricks.
- Design and implement robust data models that support reporting and analytics requirements, ensuring high performance and scalability.
- Maintain and transition legacy reporting to modern platforms such as Power BI.
- Collaborate with stakeholders to gather data requirements and translate them into technical solutions.
- Evaluate data accuracy, integrity, and quality by implementing effective governance, security, and compliance measures.
- Develop high-performance querying solutions using Delta Lake and serverless SQL environments.
- Implement version control and continuous integration/deployment (CI/CD) pipelines.
- Optimize existing data infrastructure to improve efficiency and scalability.
- Drive adoption of Azure data services across the data engineering team.
- Provide advanced troubleshooting and performance tuning expertise for SQL and data integration solutions.
- 5+ years of experience in data engineering with a focus on SQL Server, Azure Data Factory, and Databricks or MS Fabric.
- Proficiency in SQL development, including stored procedures, query optimization, and performance tuning.
- Experience with ETL development and data integration from various sources, including SQL, DB2, Mysql, Azure Blob, and APIs.
- Expertise in designing and optimizing data models.
- Familiarity with SSRS and ability to modernize legacy reporting by transitioning to Power BI.
- Knowledge of Azure core services, including Logic Apps, Azure Functions.
- Familiarity with data governance and best security practices.
- Experience with Agile methodologies and tools like Atlassian JIRA.
- Proficiency with version control systems like Git and deployment automation tools.
- Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
- Strong analytical and problem-solving skills with a passion for continuous learning.
- Excellent communication and collaboration skills with the ability to lead and inspire teams.
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