Senior Azure Cloud Data Engineer

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

Job Overview

As a Senior Azure Cloud Data Engineer at Ascendion, you will be pivotal in designing, implementing, and optimizing robust data solutions within the Azure ecosystem. This role entails leveraging your expertise in cloud data architecture and engineering to develop scalable and efficient data pipelines, supporting data-driven decision-making and ensuring data quality and integrity. You will work collaboratively with cross-functional teams to deliver innovative data analytics solutions and contribute to our overall data strategy, aiming for high availability and performance in cloud environments.

Job Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes using Azure Data Factory.
• Implement data storage solutions utilizing Azure SQL Database, Azure Cosmos DB, and Azure Blob Storage.
• Optimize data models and queries for performance and efficiency.
• Collaborate with data analysts, data scientists, and business stakeholders to define data requirements and deliver insights.
• Monitor and troubleshoot data workflows, implementing necessary improvements and optimizations.
• Ensure data governance and compliance with regulatory requirements within Azure environments.
• Lead and mentor junior data engineering staff, fostering a culture of continuous learning and development.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Minimum of 5 years of experience in data engineering or a related role, with a focus on Azure technologies.
• Proficient in SQL and various database technologies.
• Strong understanding of cloud computing concepts, particularly within the Azure platform.
• Experience with data processing frameworks such as Apache Spark or Azure Databricks.
• Familiarity with programming languages such as Python or R for data manipulation and analysis.
• Knowledge of data governance, security, and compliance best practices.
• Excellent problem-solving skills and ability to work independently and in teams.

Technologies & Tools

This position will primarily utilize Microsoft's Azure suite of services including Azure Data Factory, Azure SQL Database, Azure Cosmos DB, and Azure Blob Storage. Familiarity with data processing frameworks such as Apache Spark and Azure Databricks will be crucial. Proficiency in SQL and programming languages like Python for handling data transformations and analytics will also be critical to success in this role.

Ideal Candidates

Ideal candidates for the Senior Azure Cloud Data Engineer position possess strong analytical and problem-solving skills, coupled with a proactive approach to data engineering challenges. They are detail-oriented, organized, and able to manage multiple projects simultaneously while collaborating effectively with diverse teams. A passion for cloud technologies, continuous improvement, and mentorship exemplify their commitment to professional growth and the success of those around them. Candidates should demonstrate strong communication skills to translate complex technical concepts to non-technical stakeholders.