Experience : 4 to 6 Years

Responsibilities:

• Development and Integration: Design, develop, and maintain software applications and solutions that integrate with Azure cloud services, utilizing tools like Azure Data Factory, Azure Databricks, Python, and other relevant technologies.
• Data Pipelines and ETL: Implement robust ETL processes and data pipelines to extract, transform, and load data from various sources into data warehouses or data lakes.
• Data Modeling and Database Management: Design and optimize data models for performance and scalability within data warehousing solutions, ensuring efficient data storage and retrieval.
• Testing and Debugging: Write unit tests and perform debugging to ensure the quality and reliability of software applications and data pipelines.
• Collaboration: Work closely with cross-functional teams including analysts, and stakeholders to understand requirements, implement solutions, and support ongoing data needs.
• Documentation and Maintenance: Document software designs, data flows, and technical specifications. Maintain and enhance existing software applications and data solutions.

Qualifications:

• Technical Skills: Proficiency in Azure cloud services (Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Blob Storage, etc.) and strong programming skills in Python for data manipulation and automation.
• Data Engineering: Experience in building and optimizing ETL processes, data pipelines, and data warehouses/lakes.
• Database Technologies: Familiarity with SQL and NoSQL databases, and experience in database design, optimization, and management.
• Problem-Solving Abilities: Ability to troubleshoot complex technical issues and propose effective solutions.
• Teamwork and Communication: Excellent teamwork, communication, and interpersonal skills to collaborate effectively with diverse teams and stakeholders.
• Education and Experience: Bachelor's degree in Computer Science, Engineering, or a related field. Previous experience as a software engineer or data engineer, especially in a cloud-based environment, is preferred.
• Certifications: Optional but beneficial, certifications in Azure or related technologies (e.g., Microsoft Certified: Azure Data Engineer Associate).