Remote Cloud Data Engineer / AWS | Work From Home

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Job Overview

As a Remote Cloud Data Engineer at Get It - Finance, you will play a pivotal role in designing, implementing, and maintaining robust cloud-based data solutions on the AWS platform. Your expertise will be essential in optimizing data pipelines, ensuring seamless integration and transformation of data, and supporting analytical initiatives that drive actionable insights. Collaborating closely with data scientists and analysts, you will focus on delivering high-quality data architectures that enhance the organization's data-driven decision-making processes while adhering to best practices in cloud technologies.

Job Responsibilities

• Design, develop and maintain scalable data pipelines and ETL processes in AWS.
• Ensure high performance and reliability of data storage and processing services.
• Implement data security and compliance protocols to protect sensitive information.
• Collaborate with data scientists and analysts to understand data needs and provide the necessary data architecture.
• Monitor and optimize the performance of cloud data solutions.
• Work closely with cross-functional teams to support data integration efforts.
• Document processes and ensure that all engineering practices are maintained.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• At least 3 years of experience in data engineering or a related role.
• Strong proficiency in AWS services, particularly S3, Redshift, Lambda, and Glue.
• Proficiency in data pipeline and ETL design using tools like Apache Airflow or similar.
• Experience with programming languages such as Python, SQL, or Java.
• Solid understanding of data warehousing concepts and architecture.
• Excellent problem-solving skills and attention to detail.

Technologies & Tools

The Remote Cloud Data Engineer will work extensively with industry-standard technologies and tools such as AWS Suite (S3, Redshift, Lambda, Glue), Apache Airflow for workflow management, SQL databases for data querying, and various data visualization tools. Familiarity with Big Data technologies like Apache Spark or Hadoop may also be beneficial, allowing for effective data processing and analysis tasks within the cloud environment.

Ideal Candidates

The ideal candidate for the Remote Cloud Data Engineer position should possess strong analytical abilities, be detail-oriented, and have a proactive approach to problem-solving. They should exhibit excellent communication skills to effectively collaborate with cross-functional teams and articulate technical concepts to non-technical stakeholders. A passion for continuous learning and staying updated on emerging cloud technologies is essential, as well as the ability to work independently and manage multiple priorities in a fast-paced environment.