Remote AWS Cloud Data Engineer | WFH Opportunity

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

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.

Position Overview

Get It Recruit - Finance is seeking a Remote AWS Cloud Data Engineer to join our dynamic team. This position involves designing, implementing, and managing large-scale data processing systems on the AWS cloud platform. The AWS Cloud Data Engineer will be responsible for building data pipelines, ensuring data quality, and optimizing data flow for analytics-processing applications. A successful candidate will collaborate with cross-functional teams to implement data-driven solutions, contributing to our goal of leveraging data to drive financial insights and decision-making.

Job Responsibilities

• Design and implement robust data pipelines for extracting, transforming, and loading (ETL) data using AWS services.
• Develop and maintain cloud-based data storage solutions, ensuring scalability and performance.
• Collaborate with data analysts and data scientists to develop data models that meet business requirements.
• Monitor and optimize data ingestion jobs for efficiency and data integrity.
• Implement security best practices for data storage and processing in the cloud environment.
• Document data architecture and maintain data flow diagrams to ensure transparency.
• Provide troubleshooting support for data-related issues and proactively resolve them when necessary.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Proven experience as an AWS Cloud Data Engineer or similar role, with a strong understanding of various AWS services such as Glue, Redshift, S3, and Lambda.
• Proficiency in SQL and experience with data modeling and database design.
• Familiarity with ETL techniques and tools, particularly in the AWS ecosystem.
• Experience with programming languages such as Python, Java, or Scala.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication and collaboration skills to work effectively in a remote team setting.

Technologies & Tools

The AWS Cloud Data Engineer will work extensively with a variety of tools and technologies, primarily within the AWS ecosystem. Key tools include Amazon Redshift for data warehousing, AWS Glue for ETL processes, Amazon S3 for storage, and AWS Lambda for serverless architectures. Additionally, familiarity with database management systems, such as MySQL and PostgreSQL, is advantageous, along with experience in using data analysis tools and visualization software.

Ideal Candidates

The ideal candidate for this position possesses a strong foundation in cloud computing, specifically within the AWS environment, and has a passion for data engineering. They should be self-motivated, detail-oriented, and able to work efficiently in a remote setting. Excellent communication skills, along with the ability to collaborate with diverse teams, are essential. A growth mindset and eagerness to stay updated with the latest technologies and trends in cloud data engineering will set the candidate apart.