Middle Data Engineer

Key Responsibilities:

Experience: 3-5 years

Design, develop, and maintain data pipelines and ETL processes using Azure Data Platform (Data Factory, Databricks, Synapse, etc.).

Build and manage scalable data pipelines using Databricks, optimizing for performance and reliability.

Ensure data quality, consistency, and reliability across various data sources and systems.

Develop and maintain efficient data models to support business intelligence and analytical applications.

Collaborate with data analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.

Develop, deploy, and maintain reports and dashboards using Power BI, ensuring data visualization best practices.

Optimize and automate data workflows, ensuring scalability and performance.

Stay updated with best practices in data engineering and analytics.

Troubleshoot and resolve issues related to data pipelines, models, and reporting.