Cloud Data Engineer- Alteryx - 100% Remote - 1921

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

Job Overview

As a Cloud Data Engineer specializing in Alteryx at Cyrten, you will play a pivotal role in the design, implementation, and optimization of data processing and analytics solutions. Your expertise will facilitate the integration of cloud services with Alteryx to develop robust data pipelines that support various business requirements. You will collaborate with cross-functional teams to ensure high-quality data operations and contribute to maintaining a data-driven culture within the organization.

Job Responsibilities

• Design, develop, and maintain scalable data processing solutions using Alteryx and cloud platforms.
• Implement data integration processes between various cloud data sources and Alteryx analytics application.
• Ensure data quality and integrity through rigorous testing and validation mechanisms.
• Optimize existing data workflows and recommend improvements to enhance performance.
• Collaborate with data scientists and analysts to facilitate seamless data access and reporting.
• Document processes, data models, and workflows to ensure knowledge sharing and compliance.
• Stay updated with the latest trends in cloud technologies and data engineering practices.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
• Proven experience as a Data Engineer, Cloud Engineer, or in a related role, preferably with Alteryx.
• Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
• Proficiency in data modeling, ETL development, and data warehousing concepts.
• Experience in scripting and programming languages such as Python, SQL, or R.
• Familiarity with data governance and compliance frameworks.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and the ability to work collaboratively in a remote setting.

Technologies & Tools

This position utilizes several key technologies and tools, including Alteryx for data analytics, cloud computing environments such as AWS and Azure for scalable data solutions, and programming languages such as Python and SQL to facilitate data integration and processing. Familiarity with data visualization tools such as Tableau or Power BI may also be beneficial.

Ideal Candidates

The ideal candidate for the Cloud Data Engineer position is someone who demonstrates a passion for data engineering and analytics. They possess strong analytical thinking and logical problem-solving abilities, are proactive in their approach to challenges, and thrive in a collaborative remote working environment. Candidates should also have a continuous learning mindset, being open to adapting new technologies and methodologies as they evolve.