Data Engineer

Responsibilities:

• Designing, building, and maintaining scalable data pipelines and workflows.
• Developing and optimizing data ingestion, transformation, and integration processes.
• Working with Azure Data Factory and related technologies to build and orchestrate data workflows.
• Ensuring data quality and integrity through robust validation and monitoring systems.
• Supporting data modeling efforts, including relational and dimensional modeling.
• Building reporting and monitoring solutions to ensure efficient and accurate data operations.
• Processing, logging, and correlating data from multiple sources to support business needs.

Qualifications: Basic Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Proficiency in SQL and relational database design.
• Strong scripting skills for data/file manipulation (e.g., Python or similar languages).
• Experience with Azure Data Factory, SQL Server, or similar tools for data integration and transformation.
• Hands-on experience with scalable data systems, including batch and real-time processing.
• Strong understanding of ETL pipelines, data modeling, and Business Intelligence systems.
• Solid knowledge of event processing and workflow orchestration.
• Ability to write high-quality, maintainable code and follow best practices in software engineering.
• Excellent problem-solving and debugging skills.
• A team player with strong communication skills and a drive for results.

Preferred Qualifications:

• Experience with cloud platforms, particularly Azure or AWS.
• Advanced knowledge of SQL and relational database performance optimization.
• Familiarity with tools like Azure Data Lake, Power BI, or similar analytics platforms.

If you think this is something you want to do, please appear for the test

• https://www.autoproctor.co/tests/U4xSnl507a/instructions/