Roles and Responsibility
Design and develop large-scale data pipelines using Azure Data Factory and Databricks.
Create effective ETL processes to extract, transform, and load data from various sources into Azure Blob Storage and other target systems.
Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs.
Develop and maintain complex SQL queries to optimize database performance and troubleshoot issues.
Implement data quality checks and validation processes to ensure accuracy and integrity of the data.
Work closely with stakeholders to understand their data needs and provide timely updates on project progress.

Job Requirements
Robust understanding of SQL concepts, including query optimization and performance tuning.
Experience with Databricks, Azure Data Factory, and ETL pipeline development.
Knowledge of data processing technologies such as data warehousing, data lakes, and big data analytics.
Excellent problem-solving skills and attention to detail.
Ability to work collaboratively in a team workplace and communicate effectively with stakeholders.
Strong analytical and critical thinking skills, with the ability to make informed decisions.

📌 Azure Data Engineer Hyderabad
🏢 mroads
📍 Hyderabad