AWS Cloud Data Engineer - Remote | 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 AWS Cloud Data Engineer at Get It - Finance will play a crucial role in designing, developing, and managing data pipelines and architectures on the Amazon Web Services (AWS) platform. The ideal candidate will collaborate with cross-functional teams to gather requirements, architect solutions, and ensure data availability, integrity, and security. Additionally, the Cloud Data Engineer will leverage best practices to optimize cloud resources, improve data processing efficiencies, and support analytics initiatives, resulting in streamlined operations and actionable insights for our finance solutions.

Job Responsibilities

• Design and implement scalable data pipelines to support analytics and business intelligence initiatives.
• Develop and maintain data integration processes using AWS services such as AWS Glue, Redshift, and Lambda.
• Monitor and optimize data extraction, transformation, and loading (ETL) processes for performance and reliability.
• Collaborate with data scientists and analysts to understand data requirements and facilitate access to data.
• Ensure compliance with data governance and security policies within AWS environments.
• Troubleshoot and resolve data-related issues throughout the data lifecycle.
• Document processes, workflows, and standards for best practices in data management.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 3+ years of experience in data engineering or related roles with a focus on cloud-based solutions.
• Strong proficiency with AWS services and tools for data processing, storage, and analysis.
• Hands-on experience with ETL processes and data warehousing concepts.
• Proficient in programming languages such as Python, Java, or Scala.
• Knowledge of SQL and experience with relational databases.
• Familiarity with data visualization tools and frameworks is a plus.

Technologies & Tools

The AWS Cloud Data Engineer will work with a variety of technologies and tools, including but not limited to AWS services such as Amazon S3, AWS Glue, AWS Lambda, and Amazon Redshift. Familiarity with data orchestration tools like Apache Airflow, and data visualization solutions such as Tableau or Power BI, is advantageous. Proficiency in programming languages such as Python and SQL is essential for effective data manipulation and analysis.

Ideal Candidates

Ideal candidates for the AWS Cloud Data Engineer position will be detail-oriented individuals with a strong analytical mindset and a passion for data. They should possess effective communication skills, enabling them to work collaboratively within teams and convey technical concepts to non-technical stakeholders. A proactive approach to problem-solving and the ability to manage multiple projects simultaneously will also be key characteristics that set them apart. Candidates should exhibit a commitment to continuous learning and staying abreast of new technologies and best practices in the field of cloud data engineering.