Remote AWS Cloud Data Engineer

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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 be responsible for designing, implementing, and maintaining data pipelines and infrastructure on Amazon Web Services (AWS). The ideal candidate will work collaboratively with cross-functional teams to ensure data availability and performance, develop scalable data solutions, and promote best practices in data engineering. This role requires a strong analytical mindset, problem-solving abilities, and a passion for leveraging cloud technologies to provide insights and drive business decisions in the financial sector.

Job Responsibilities

• Design, build, and maintain robust data processing systems and pipelines on AWS.
• Collaborate with data scientists and analysts to optimize data architecture for analytical access.
• Ensure data quality, integrity, and consistency across various data sources.
• Implement data security measures and ensure compliance with relevant regulations.
• Monitor system performance and troubleshoot any issues that arise.
• Document data workflows and maintain metadata repositories.
• Stay updated with emerging technologies and provide recommendations for improvements.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in data engineering or cloud data management.
• Proficiency in AWS services such as S3, Redshift, Glue, Lambda, and RDS.
• Strong programming skills in Python, SQL, or Java.
• Experience with ETL processes and tools.
• Knowledge of data modeling, warehousing, and databases.
• Familiarity with DevOps practices and CI/CD pipelines is a plus.

Technologies & Tools

The AWS Cloud Data Engineer will primarily work with a suite of technologies and tools including AWS services (S3, Redshift, Glue, Lambda, Athena), data modeling tools, ETL platforms, and programming environments such as Python and SQL. Familiarity with version control systems like Git, as well as data analytics frameworks, will also play a crucial role in the effective execution of responsibilities.

Ideal Candidates

Successful candidates for the Remote AWS Cloud Data Engineer position will possess a proactive and analytical approach to problem-solving. They will be characterized by strong communication skills, allowing for effective collaboration across varied teams. Additionally, an ideal candidate should demonstrate a willingness to adapt to new technologies and a continuous improvement mindset, focusing on enhancing data processes and infrastructure in a fast-paced financial environment.