Sr. Azure Data Engineer

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Written by AI from the job title and company, not by Golden Technology, so some details may not match this job. The employer's own page has the real description.

Job Overview

The Senior Azure Data Engineer at Golden Technology will be responsible for designing, implementing, and maintaining data solutions on the Azure platform. This role requires a comprehensive understanding of data architecture, data modeling, and data warehousing concepts to ensure robust data management practices. The successful candidate will work closely with cross-functional teams to support data analytics needs, enhance data accessibility, and optimize data pipelines to drive business insights. In addition, the Sr. Azure Data Engineer will mentor junior data engineers and contribute to establishing best practices in cloud-based data engineering.

Job Responsibilities

• Design and implement scalable data architectures on the Azure platform.
• Develop and manage ETL processes to ensure accurate and timely data flow between systems.
• Collaborate with Data Science and Business Intelligence teams to understand data requirements and implement solutions.
• Monitor and optimize data pipelines for performance and reliability.
• Ensure data quality and governance practices are adhered to within all data solutions.
• Provide mentorship and guidance to junior data engineers.
• Perform troubleshooting and testing to resolve data-related issues.
• Stay updated with industry trends and emerging technologies to recommend advancements in data engineering.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 5 years of experience in data engineering roles, with at least 3 years focused on Microsoft Azure services.
• Proficiency in Azure data services such as Azure Data Factory, Azure Databricks, and Azure SQL Database.
• Strong experience in SQL and programming languages such as Python or Scala.
• Knowledge of data warehousing concepts and data modeling techniques.
• Familiarity with DevOps practices in relation to data pipeline development and deployment.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills, with an ability to work effectively in a team environment.

Technologies & Tools

The Senior Azure Data Engineer will utilize various technologies and tools that support data engineering efforts. Key technologies include Microsoft Azure services such as Azure Data Factory, Azure SQL Database, Azure Databricks, and Azure Blob Storage. Additionally, familiarity with ETL tools, data visualization software, and version control systems like Git will be advantageous for effective data management and collaboration.

Ideal Candidates

Ideal candidates for the Senior Azure Data Engineer position should exhibit a strong technical acumen combined with effective communication skills. They should possess a passion for data and a forward-thinking mindset, enabling them to innovate and improve data processes continuously. Adaptability to evolving technologies and a customer-focused approach to problem solving are critical traits. Additionally, candidates should showcase leadership potential, enabling them to mentor and guide junior staff as part of a cohesive data engineering team.