Azure Data Bricks Engineer
Solution Development and Implementation:
- Design, develop, and deploy robust analytics solutions leveraging the Microsoft platform (e.g., Azure Data Factory, Azure Synapse Analytics, SQL Server, Power BI, Microsoft Fabric) and Databricks.
- Build scalable and high-performance data pipelines and ETL processes for structured and unstructured data.
- Develop and maintain data models, data warehousing solutions, and advanced reporting dashboards.
- Collaborate with business analysts, data scientists, and stakeholders to gather requirements and translate business needs.
- Provide technical leadership and mentorship to junior developers.
- Design and implement best practices for data integration, cleansing, and enrichment using Databricks and Microsoft tools.
- Ensure data accuracy and reliability through rigorous testing and validation.
- Monitor and optimize data pipelines and analytics workflows for efficiency and scalability.
- Automate tasks to improve operational excellence and reduce manual effort.
- Document architectures, data flows, and technical specifications.
- Ensure compliance with data governance and security policies.
- Stay updated on analytics trends and proactively enhance solutions.
- Participate in knowledge sharing and upskilling initiatives within the team.
Certifications in Azure, Databricks, or other relevant technologies.- Experience with data visualization and storytelling using Power BI or similar tools.
- Exposure to machine learning concepts and integration with analytics pipelines.
- Understanding of cloud security, data privacy, and governance best practices.
- Ability to work independently as well as collaboratively within diverse teams.
- Passion for continuous improvement and a growth mindset.