Remote AWS Cloud Data Engineer | WFH

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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.

Job Overview

The Remote AWS Cloud Data Engineer at Get It - Finance will play a vital role in designing, building, and maintaining robust data pipelines and data architecture in a cloud computing environment. The successful candidate will collaborate with cross-functional teams to ensure seamless integration of data and analytics solutions that drive business insights. This position requires a deep understanding of AWS services and data management best practices to support the organization's data strategy and enhance the overall efficiency of data processing.

Job Responsibilities

• Design, develop, and deploy data pipelines on AWS to facilitate efficient data extraction, transformation, and loading (ETL).
• Implement and manage data storage solutions such as AWS S3, Redshift, and DynamoDB.
• Optimize application and data workflows for performance and cost-effectiveness within AWS.
• Collaborate with data scientists and stakeholders to understand data needs and establish data governance best practices.
• Monitor and troubleshoot data processing steps to ensure accuracy and reliability.
• Conduct data quality assessments and implement required data cleansing processes.
• Document architectural decisions and system configurations to maintain process transparency and facilitate team collaboration.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in data engineering or related roles.
• Proficient in AWS services, including but not limited to EC2, S3, Lambda, Glue, and Redshift.
• Strong programming skills in Python, Java, or similar languages.
• Experience with SQL and NoSQL databases.
• Understanding of data modeling concepts and best practices.
• Familiarity with data visualization tools such as Tableau or Power BI is a plus.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration abilities, particularly in a remote work environment.

Technologies & Tools

This position will utilize a variety of technologies and tools to support data engineering projects. Key technologies include Amazon Web Services (AWS) such as S3, EC2, Lambda, Glue, and Redshift for data management and storage. Experience with data transformation and pipeline tools such as Apache Spark or Apache Kafka may also be beneficial. Proficient knowledge of SQL for database interaction and analytical tools for data visualization is expected.

Ideal Candidates

The ideal candidate for the Remote AWS Cloud Data Engineer role will be an analytical thinker with a passion for data and technology. They will possess a proactive and collaborative attitude, capable of thriving in a remote work setting. Strong communication and interpersonal skills will enable them to work effectively with various teams and stakeholders. Additionally, a commitment to continuous learning and adapting to the ever-evolving landscape of cloud technologies will be essential for success in this position.