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1 day ago
We are seeking a highly skilled Senior Data Engineer to join our team. This role is vital in designing, developing, and optimizing complex data architectures that support business needs.
Key Responsibilities:- Design, develop, and optimize scalable data pipelines using SQL Server, Azure Data Factory, Microsoft Fabric, and Databricks.
- Architect and implement robust data models and solutions that support organization's reporting and analytics needs, ensuring high performance and scalability.
- Maintain SQL Server Reporting Services while transitioning legacy reporting to modern platforms like Power BI.
- Collaborate with stakeholders to gather data requirements and translate them into technical solutions that drive business insights.
- Ensure data accuracy, integrity, and quality by implementing effective data governance, security, and compliance measures.
- Develop and support high-performance querying solutions using Delta Lake and serverless SQL environments.
- Implement version control and continuous integration/deployment (CI/CD) pipelines using Git or other similar tools.
- Proactively identify and resolve bottlenecks, optimizing existing data infrastructure to improve efficiency and scalability.
- Drive adoption of Azure data services and related cloud technologies across data engineering team.
- Provide advanced troubleshooting and performance tuning expertise for SQL and data integration solutions.
- 5+ years of experience in data engineering with strong focus on SQL Server, Azure Data Factory, and Databricks or MS Fabric.
- Proficient in SQL development, including stored procedures, query optimization, and performance tuning.
- Extensive experience with ETL development and data integration from range of sources including SQL, DB2, MySQL, Azure Blob, and APIs.
- Expertise in designing and optimizing data models.
- Hands-on experience with SSRS and ability to modernize legacy reporting by transitioning to Power BI.
- Knowledge of Azure core services, including Logic Apps, Azure Functions is a plus.
- Familiarity with data governance and best security practices.
- Experience with Agile methodologies and tools like Atlassian JIRA for managing tasks and workflows.
- Proficiency with version control systems such as Git and deployment automation tools.
- Proven ability to architect scalable data solutions that drive business objectives and operational efficiencies.
- Bachelor's or Master's degree in Computer Science, Information Technology, or related field. Proven experience in data engineering roles, with track record of successful data project implementations.
- Strong analytical and problem-solving skills, with passion for continuous learning and innovation.
- Excellent communication and collaboration skills, with ability to lead and inspire teams.
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