Sr. Azure Data Engineer / Lead

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

Overview

The Sr. Azure Data Engineer / Lead at Dice will be responsible for designing and implementing robust data solutions on the Azure cloud platform. This role requires a deep understanding of data engineering principles, data warehousing, and big data technologies. The successful candidate will lead a team of data engineers, ensure best practices in data management, and collaborate with cross-functional teams to drive data-driven decision-making. Furthermore, this position will involve architecting and deploying scalable cloud-based data solutions that address business challenges while providing insights through analytics and reporting.

Job Responsibilities

• Design and implement data processing workflows and frameworks utilizing Azure Data Factory and Azure Databricks.
• Lead the development of data pipelines and ETL processes to facilitate the ingestion, transformation, and storage of big data.
• Establish and enforce best practices in data governance, data quality, and data security.
• Work closely with Data Scientists and Analysts to deliver actionable insights through analytical and reporting frameworks.
• Collaborate with stakeholders to understand data requirements and provide data-driven solutions to meet business objectives.
• Mentor and train junior data engineers, promoting skill development and knowledge sharing within the team.
• Continuously evaluate emerging technologies and tools to enhance the data capability of the organization.

Qualifications

• Master's degree in Computer Science, Information Technology, or a related field, or equivalent experience.
• Minimum of 5 years of experience in data engineering, with a strong focus on cloud-based environments, particularly Azure.
• Proficient in Azure services such as Azure Data Lake, Azure SQL Database, and Azure Synapse Analytics.
• Strong understanding of data warehousing concepts and experience with SQL and NoSQL databases.
• Expertise in programming languages such as Python, Scala, or Java for data processing.
• Experience with CI/CD pipelines and DevOps practices in data engineering.
• Excellent problem-solving abilities and strong analytical skills.
• Exceptional written and verbal communication skills, with the ability to convey technical information to non-technical stakeholders.

Technologies & Tools

The Sr. Azure Data Engineer / Lead position involves working with various state-of-the-art technologies and tools. Primary tools include Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL Database, Azure Synapse Analytics, and related services. The candidate will also utilize Python, Scala, SQL for data manipulation, and tools for version control, as well as CI/CD for deploying data solutions.

Ideal Candidates

The ideal candidate for the Sr. Azure Data Engineer / Lead position is one who possesses a combination of technical expertise and strong leadership qualities. They should exhibit a proactive approach to problem-solving and have a keen interest in staying updated with the latest trends in data engineering and cloud technologies. The candidate should thrive in a collaborative environment, demonstrating excellent interpersonal skills and the ability to mentor others. A strong commitment to quality and continuous improvement, coupled with an analytical mindset, will make them an asset to our organization.