Senior Data Automation Engineer / Lead (with Delphix, Azure Devops)

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Job Overview

The Senior Data Automation Engineer / Lead at Dice will play a critical role in leading the design, development, and implementation of data automation frameworks using Delphix and Azure DevOps. This position requires a deep understanding of data management principles, a strong background in cloud technologies, and the ability to mentor junior engineers. The successful candidate will collaborate closely with cross-functional teams to refine data processes, improve efficiency, and ensure robust data quality in a fast-paced environment.

Job Responsibilities

• Lead the development and implementation of data automation strategies using Delphix and Azure DevOps.
• Collaborate with data engineers and analysts to optimize data workflows and enhance operational efficiency.
• Design and manage CI/CD pipelines for data deployments, ensuring minimal downtime and high reliability.
• Monitor data quality and prepare reports outlining compliance and effectiveness of data systems.
• Provide mentorship and guidance to junior data engineers, facilitating knowledge sharing and skill development.
• Troubleshoot and resolve data issues in collaboration with cross-functional teams.
• Stay abreast of industry trends and best practices in data automation and management.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field.
• A minimum of 5 years of experience in data automation or data engineering.
• Proficiency with Delphix and Azure DevOps, including CI/CD processes.
• Strong programming skills in languages such as Python, Java, or SQL.
• Experience with cloud technologies and data management frameworks.
• Excellent analytical and problem-solving capabilities.
• Strong communication skills, both verbal and written, with the ability to convey complex information clearly.

Technologies & Tools

The Senior Data Automation Engineer will utilize a range of technologies and tools essential for data automation and management, including Delphix for data virtualization and Azure DevOps for continuous integration and deployment. Additional tools may include scripting languages for automation, cloud storage solutions, and various data processing frameworks that align with the data architecture of the organization.

Ideal Candidates

The ideal candidate for this position is a proactive and strategic thinker who thrives in collaborative environments. They possess a keen eye for detail and a commitment to data integrity. Strong leadership capabilities, along with a passion for mentoring others, are essential qualities. Additionally, candidates should be adaptable to evolving technologies and methodologies, and demonstrate a continuous learning mindset to keep up with industry advancements.