Remote Cloud Data Engineer / AWS | Work From Home

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Overview

Get It Recruit - Finance is seeking a skilled and motivated Remote Cloud Data Engineer with expertise in AWS to join our dynamic team. The successful candidate will play a pivotal role in designing, implementing, and managing cloud-based data architectures. This position involves working closely with cross-functional teams to enhance data accessibility and optimize data processing pipelines, ensuring robust performance in a scalable cloud environment. The ideal candidate will exhibit strong analytical skills and contribute to the advancement of our data strategy while working in a fully remote capacity.

Job Responsibilities

• Design, implement, and maintain data architectures utilizing AWS services to facilitate data storage and processing.
• Develop and manage ETL processes to acquire, cleanse, and transform raw data into accessible formats.
• Collaborate with data scientists and analysts to ensure the availability of clean and reliable data for analysis.
• Monitor data pipeline performance, troubleshoot issues, and optimize systems for reliability and efficiency.
• Utilize best practices in data governance and security to manage sensitive information effectively.
• Stay updated on emerging cloud technologies and implement innovations to improve data engineering practices.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in data engineering, specifically with AWS cloud services.
• Proficiency in ETL tools and data modeling techniques.
• Strong programming skills in languages such as Python, Java, or Scala.
• Experience with relational and NoSQL databases (e.g., MySQL, MongoDB).
• Knowledge of data warehousing and big data technologies (e.g., Redshift, Snowflake).
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent problem-solving skills and attention to detail.

Technologies & Tools

The Remote Cloud Data Engineer position will primarily involve utilizing various technologies and tools within the AWS ecosystem, such as Amazon S3, AWS Glue, AWS Lambda, and Amazon Redshift. Familiarity with Terraform or CloudFormation for infrastructure-as-code, as well as version control systems like Git, is essential. Candidates are expected to be well-versed in data processing and analytics services, ensuring efficient data handling across multiple platforms.

Ideal Candidates

The ideal candidate for this position will possess a strong analytical mindset combined with a passion for data engineering and cloud technologies. They will demonstrate self-motivation and the ability to work independently in a remote environment. Excellent communication skills are crucial for collaborating effectively with diverse teams while maintaining a customer-centric focus. A commitment to continuous learning and a proactive approach to problem-solving will further enhance their fit for this role.