Azure Data Engineer

Skills Required

Good communication Skills

Problem sloving

pyspark

python

Azure.

Ownership

Seeker Mindset

Passionate Towards Work

Extremely Ambitious

Unbeatable Work Ethics

Ability to comprehend

Azure Synapse

Azure Data Factory

Azure Data Lake

• Design and implement robust ELT/ETL pipelines using Azure Data Factory and Azure Synapse, ensuring efficient data processing and transformation for enterprise-scale projects
• Develop scalable data solutions leveraging Azure SQL Data Service and Azure Data Lake, optimizing data storage and retrieval for enhanced performance
• Craft advanced SQL queries and stored procedures to extract meaningful insights from complex datasets, supporting data-driven decision making across the organization
• Implement data quality checks and validation processes using Python and PySpark, ensuring data integrity and reliability throughout the data lifecycle
• Collaborate with cross-functional teams to translate business requirements into technical specifications, demonstrating strong problem-solving skills and clear communication
• Present data architecture designs and performance metrics to stakeholders, showcasing impactful presentation skills and the ability to convey complex technical concepts effectively
• Proactively identify and implement performance optimizations, demonstrating a seeker mindset and passionate approach to continuous improvement
• Lead knowledge sharing sessions on Azure data engineering best practices, fostering a culture of learning and innovation within the team