Microsoft Azure Data Services and Databricks

Job Description:

While not all qualifications are mandatory, a strong mix of the listed skills and experiences will help you succeed in this role.

An Azure Databricks Engineer is responsible for designing, developing, implementing, and maintaining data solutions within the Azure ecosystem. This role requires close collaboration with various teams to gather data requirements, build scalable data pipelines, and ensure the overall solution is reliable, available, and optimized for high performance.

Roles and responsibilities:

• Data Integration and ETL (Extract, Transform, Load)
• Data Management and Storage
• Monitoring and Troubleshooting
• Collaboration and Communication

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related discipline.
• Demonstrated experience as a Data Engineer or in a similar role, with a strong track record of designing and implementing data solutions using Azure Databricks.
• Proficient in SQL, T-SQL, Python, or other relevant programming languages for data transformation and processing.
• Solid understanding of data integration strategies, ETL techniques, and data warehousing principles.
• Strong analytical and problem-solving abilities, with expertise in diagnosing complex data issues and optimizing pipeline performance and reliability.
• Excellent communication skills, with the ability to collaborate effectively across teams and engage with various stakeholders.
• Familiarity with tools such as Azure Databricks for big data processing, Power BI for data visualization, and Azure Stream Analytics for real-time data analysis.
• Familiarity with data security best practices and data governance frameworks

Must have skills:

• Databricks (Unity Catalog, Delta Live Tables, Auto Loader, Python, Pyspark, SQL, Azure Data Factory.

Work Set-up:

• Shift: Mid Shift (2PM – 12AM)
• Hybrid with 2x a week RTO
• Location: Taguig