We're Hiring - Senior AWS Data Engineer/Architect (Terraform) - REMOTE

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Job Overview

Akron Intel is seeking a highly skilled and motivated Senior AWS Data Engineer/Architect with expertise in Terraform to join our dynamic team. In this remote position, you will be responsible for designing, implementing, and maintaining robust data architectures on the AWS platform. Your role will involve leveraging your experience with cloud data services, data warehousing, and ETL processes, while also collaborating with data scientists and analysts to ensure seamless integration of data solutions that support business intelligence and analytics initiatives.

Job Responsibilities

• Design and implement scalable, secure, and efficient data architectures on AWS.
• Utilize Terraform for infrastructure as code (IaC) to automate the deployment and management of cloud resources.
• Develop ETL processes for data ingestion from various sources into cloud storage and data warehousing solutions.
• Collaborate with cross-functional teams to define data requirements and ensure alignment with business goals.
• Monitor and optimize data pipelines for performance, reliability, and cost-effectiveness.
• Implement best practices for data governance, privacy, and compliance within AWS.
• Conduct research and stay updated on AWS developments and industry trends relevant to data engineering.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
• Minimum of 5 years of experience in data engineering or data architecture roles.
• Strong proficiency in AWS services, specifically S3, Lambda, Redshift, Glue, and Kinesis.
• Hands-on experience with Terraform for infrastructure management.
• In-depth understanding of data modeling, data warehousing concepts, and ETL best practices.
• Proficient in SQL and experience with NoSQL databases.
• Familiarity with Agile methodologies and tools.

Technologies & Tools

The Senior AWS Data Engineer/Architect will primarily work with a variety of technologies and tools including but not limited to AWS (S3, Lambda, Glue, Redshift, and Kinesis), Terraform, SQL-based databases, NoSQL systems, and ETL tools. Familiarity with version control systems such as Git, as well as CI/CD pipelines, is also desirable for efficient development workflows.

Ideal Candidates

The ideal candidate will possess strong analytical and problem-solving skills, with a detail-oriented mindset and the ability to work collaboratively within a team environment. They should demonstrate a passion for innovation, continuous learning, and the ability to adapt to new technologies and methodologies. Excellent communication skills, both written and verbal, are essential for effectively conveying complex data concepts to various stakeholders.