Job Description
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Written by AI from the job title and company, not by Insight, so some details may not match this job. The employer's own page has the real description.
Overview
As a Remote Principal Cloud/Data Engineer at Insight, you will play a pivotal role in transforming complex data systems and cloud architectures into streamlined solutions that drive business effectiveness. You will be responsible for designing and implementing robust data infrastructures while collaborating with cross-functional teams to enhance data accessibility and retention. Your expertise will guide the strategic direction of cloud technologies and data engineering practices, ensuring high levels of performance, scalability, and security across all solutions.
Job Responsibilities
- Design and implement data architectures and engineering processes that support a range of analytics and reporting solutions.
- Lead cloud-based infrastructure design and optimization, ensuring that systems are scalable and cost-effective.
- Collaborate with data scientists and business analysts to create data models that inform decision-making.
- Develop data pipelines and ETL processes using modern cloud technologies.
- Ensure compliance with data governance policies and best practices across all data assets.
- Monitor system performance and troubleshoot issues to maintain a high availability of data services.
- Mentor and provide technical guidance to junior engineers and team members.
Qualifications
- Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Minimum of 7 years experience in data engineering, cloud computing, or a similar domain.
- Extensive experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Proficient in programming languages such as Python, Scala, or Java.
- Strong knowledge of data warehousing solutions and ETL technologies.
- Demonstrated experience with containerization technologies (e.g., Docker, Kubernetes).
- Excellent problem-solving skills and the ability to work under tight deadlines.
Technologies & Tools
The Principal Cloud/Data Engineer position at Insight involves utilizing a variety of technologies and tools. Key technologies include cloud platforms such as AWS, Azure, and Google Cloud. Other relevant tools comprise data integration and ETL frameworks like Apache NiFi and Talend, as well as programming tools such as Python and SQL. Familiarity with container orchestration via Kubernetes and monitoring tools such as Prometheus is also essential for this role.
Ideal Candidates
The ideal candidate for this position possesses a strong analytical mindset paired with excellent communication skills. They should exhibit a proactive approach to problem-solving and have a passion for leveraging data to derive actionable insights. A successful Principal Cloud/Data Engineer at Insight thrives in collaborative environments, exhibits leadership qualities, and demonstrates the ability to adapt to rapidly changing technologies and priorities. A strong commitment to continuous learning and professional growth is also highly valued.
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