AWS Cloud Data Engineer - Remote Opportunity

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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 is responsible for designing, implementing, maintaining, and optimizing data pipelines and cloud environments to support data analytics and business intelligence initiatives. This role involves working collaboratively with cross-functional teams to ensure that data architecture meets the organization's needs while ensuring the integrity, accessibility, and security of data. As a key player in our data strategy, you will leverage AWS services to drive impactful data solutions that enhance decision-making across various levels of the organization.

Job Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes utilizing AWS services.
• Integrate data from various sources into cloud-based data repositories, ensuring data accuracy and consistency.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and facilitate data-driven decisions.
• Implement monitoring and maintenance solutions for data environments to ensure peak performance and reliability.
• Develop and enforce best practices for data security, compliance, and governance in accordance with industry standards.
• Lead efforts in data modeling and schema design for optimal data utilization and query performance.
• Assist in the evaluation and recommendation of new technologies and tools to enhance data infrastructure and processes.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field; Master’s degree preferred.
• Minimum of 3 years of experience in data engineering, specifically within AWS or cloud environments.
• Strong proficiency in SQL and experience with programming languages such as Python, Java, or Scala.
• Hands-on experience with a variety of AWS services, including but not limited to S3, Glue, Redshift, and Lambda.
• Familiarity with data warehousing solutions and big data technologies such as Hadoop or Spark is a plus.
• Solid understanding of data modeling concepts and practices, as well as data governance frameworks.
• Excellent problem-solving skills and the ability to work both independently and in collaborative team settings.

Technologies & Tools

The AWS Cloud Data Engineer will work with a suite of advanced technologies and tools, which include Amazon Web Services (AWS) for cloud infrastructure, SQL for database management, Python for scripting and data manipulation, alongside ETL tools such as AWS Glue. Familiarity with data visualization tools may also be required, as well as experience with version control systems like Git for managing code.

Ideal Candidates

The ideal candidate for this position will possess a strong analytical mindset and the ability to tackle complex data challenges with innovative solutions. Successful individuals will have a meticulous attention to detail, ensuring high-quality outcomes in all deliverables. They should exhibit strong communication skills to effectively collaborate with diverse teams and explain technical concepts to non-technical stakeholders. Furthermore, adaptability and a continual eagerness to learn about emerging technologies will set them apart in this dynamic environment.