AWS Cloud Data Engineer - Remote Position

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

Overview

Get It - Finance is seeking a highly skilled AWS Cloud Data Engineer to join our remote team. The successful candidate will be essential in designing, implementing, and maintaining our cloud-based data architecture, ensuring efficient data storage and processing solutions. The role involves collaborating with cross-functional teams to develop data integration strategies, enhance existing infrastructure, and support analytics initiatives that drive business insights. Your expertise will be pivotal in managing cloud data solutions, enabling the organization to leverage data effectively.

Job Responsibilities

• Design and implement scalable data pipelines within the AWS ecosystem.
• Maintain and optimize existing ETL processes to ensure data quality and accessibility.
• Collaborate with data scientists and analysts to facilitate data analysis through effective data modelling.
• Monitor cloud data infrastructure performance and recommend improvements.
• Implement security best practices to safeguard sensitive data in the cloud.
• Utilize AWS tools such as S3, Redshift, and Glue to manage data storage and processing.
• Document processes, technical specifications, and architecture design as needed.

Qualifications

• Bachelor's Degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in data engineering, specifically within cloud environments.
• Proficiency in AWS services, particularly S3, Redshift, Glue, Lambda, and RDS.
• Strong understanding of data modelling concepts and ETL best practices.
• Experience with SQL and NoSQL databases.
• Familiarity with programming languages such as Python or Java for data processing.
• Excellent problem-solving skills and the ability to work independently.

Technologies & Tools

The AWS Cloud Data Engineer position requires familiarity with an array of technologies and tools. The primary platforms utilized include Amazon Web Services (AWS) for cloud infrastructure, alongside relational and non-relational databases for data storage. Knowledge of ETL tools such as Amazon Glue, data warehousing solutions like Amazon Redshift, and data visualization software will also be beneficial. Proficient use of version control systems such as Git and CI/CD platforms to streamline deployment processes is expected.

Ideal Candidates

The ideal candidate for the AWS Cloud Data Engineer position should exhibit strong analytical thinking and a passion for data. They should be detail-oriented, demonstrating a commitment to delivering high-quality solutions while adhering to best practices in data management. Effective communication skills are essential for collaborating with diverse teams and conveying technical concepts to non-technical stakeholders. A proactive approach to learning and adapting to new technologies in the rapidly evolving cloud landscape is also highly valued.