AWS Cloud / Data Engineer

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Written by AI from the job title and company, not by Apex Systems, 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 Apex Systems will be responsible for designing, developing, and implementing scalable cloud-based solutions that enhance data accessibility and processing capabilities. The role involves collaborating with cross-functional teams to harness cloud technologies, streamline data pipelines, and ensure the integrity and security of sensitive information. The ideal candidate will be proficient in AWS services and eager to adopt best practices in data management and engineering to drive the organization's data strategy forward.

Job Responsibilities

• Develop and maintain efficient data architectures and pipelines in AWS for data storage, processing, and analytics.
• Collaborate with data scientists and analysts to support data modeling, integration, and application lifecycle management.
• Implement best practices in cloud security and cost management to ensure compliant and efficient cloud operations.
• Analyze complex datasets and generate insightful reports to facilitate data-driven decision making.
• Monitor and troubleshoot data workflows to ensure optimal performance and timely delivery of data solutions.
• Participate in the continuous improvement of data engineering processes and application reliability.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 3+ years of experience working with AWS cloud services such as S3, EC2, Lambda, and Redshift.
• Strong programming skills in languages such as Python, Java, or SQL.
• Experience with data modeling tools and ETL processes.
• Understanding of big data technologies and frameworks such as Hadoop or Spark is preferred.
• Certification in AWS solutions architecture or data engineering is a plus.

Technologies & Tools

The AWS Cloud / Data Engineer will utilize a variety of technologies and tools, including but not limited to AWS services (such as S3, Redshift, and Glue), data visualization tools (like Tableau or Power BI), and programming languages (including Python and Java). Familiarity with containerization tools like Docker, version control systems like Git, and CI/CD pipelines will also be essential to enhance deployment efficiency and system reliability.

Ideal Candidates

The ideal candidates for this role are individuals who demonstrate a strong analytical mindset, possess innovative problem-solving skills, and are adaptable to evolving technological landscapes. They should exhibit excellent communication skills to collaborate effectively with diverse teams while maintaining a strong focus on delivering high-quality data solutions. A results-oriented approach, coupled with a continuous learning perspective, will help them thrive in this dynamic environment.