Remote AWS Cloud Data Engineer | WFH

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

Job Overview

The Remote AWS Cloud Data Engineer at Get It Recruit - Finance will play a vital role in designing, implementing, and maintaining cloud-based data solutions that empower the organization to make data-driven decisions. The successful candidate will leverage AWS technologies to architect scalable and robust data pipelines while ensuring data integrity and accessibility. This position requires strong analytical skills and a solid understanding of cloud services, as well as a passion for developing new solutions in a dynamic work environment.

Job Responsibilities

• Design and implement scalable data pipelines utilizing AWS services such as AWS Lambda, AWS Glue, and Amazon Redshift.
• Develop and maintain data models and ETL processes to ensure efficient data flow and storage.
• Conduct data analysis and support data science initiatives by providing clean and well-structured datasets.
• Monitor data pipelines and troubleshoot issues to maintain optimal system performance.
• Collaborate with data analysts, data scientists, and other stakeholders to identify data requirements and solutions.
• Document data architecture and engineering processes for future reference and compliance.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in data engineering or a related role.
• Proficiency with AWS services such as S3, EC2, Lambda, Glue, and Redshift.
• Strong programming skills in languages such as Python, Java, or SQL.
• Experience with data modeling and ETL tools, specifically in cloud environments.
• Excellent problem-solving skills and ability to work independently in a remote setting.

Technologies & Tools

The AWS Cloud Data Engineer will primarily work with various AWS cloud technologies, including but not limited to Amazon S3 for storage, Amazon Redshift for data warehousing, and AWS Lambda for serverless compute. Additional tools may include SQL for data manipulation, ETL tools for data integration, and data visualization software for reporting purposes.

Ideal Candidates

The ideal candidate for this position will possess a strong analytical mindset coupled with a proactive approach to problem-solving. They should be excellent communicators, able to collaborate effectively with cross-functional teams, and comfortable working in a fast-paced, dynamic environment. A passion for continuous learning and staying updated with the latest industry trends in cloud technologies will also be essential for success in this role.