Cloud Data Engineer / AWS -- Remote role

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

Job Overview

The Cloud Data Engineer at RemoteWorker US will play a critical role in designing, developing, and managing cloud-based data solutions utilizing Amazon Web Services (AWS). The selected candidate will work closely with various teams to ensure efficient data integration, processing, and storage. This remote position requires an innovative thinker who is passionate about cloud technologies and data engineering, contributing to the organization's data strategy and overall business objectives.

Job Responsibilities

• Design and implement scalable and efficient data pipelines and ETL processes in AWS.
• Collaborate with data scientists and analysts to understand data requirements and ensure data availability.
• Manage and optimize AWS data storage solutions, including S3, Redshift, and RDS.
• Monitor and troubleshoot data workflows, ensuring data quality and reliability.
• Develop and maintain documentation related to data architecture and processes.
• Stay updated with industry trends and AWS updates to continually improve cloud data solutions.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in cloud data engineering, with a focus on AWS technologies.
• Proficiency in SQL, Python, and data modeling techniques.
• Experience with data integration and ETL tools such as Apache Spark, AWS Glue, or Talend.
• Strong understanding of cloud architectures, particularly in AWS.
• Familiarity with data visualization tools like Tableau or Power BI is an advantage.

Technologies & Tools

In this role, the Cloud Data Engineer will leverage a suite of technologies and tools including AWS services such as Amazon S3, Redshift, Lambda, and Glue for data processing, storage, and orchestration. The candidate will also employ languages such as Python and SQL for data manipulation and transformation, along with version control tools like Git to manage code and collaborate effectively with team members.

Ideal Candidates

Ideal candidates for this position are analytical and detail-oriented individuals who excel in problem-solving and possess a strong technical background. They are expected to communicate effectively across diverse teams and demonstrate a proactive attitude towards learning new technologies. A strong passion for data-driven decision-making and an innovative mindset are crucial for success in this dynamic remote environment.