Cloud Data Engineer / AWS -- Remote | WFH

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Overview

As a Cloud Data Engineer specializing in AWS at Get It Recruit - Finance, you will play a pivotal role in designing, building, and maintaining scalable and reliable cloud data solutions. You will collaborate with cross-functional teams to support data architecture, facilitate data integration, and enhance data processing systems, which are essential for data-driven decision making. Your expertise in cloud technologies and data engineering principles will be instrumental in optimizing our data workflows and ensuring the integrity and availability of data across the organization.

Job Responsibilities

• Design and implement cloud-based data solutions using AWS services such as S3, Redshift, Glue, and EMR.
• Develop data pipelines and ETL processes to facilitate data ingestion from various sources.
• Ensure data quality and integrity through monitoring and troubleshooting data processes.
• Collaborate with data scientists and analysts to provide data access and support analytical needs.
• Optimize data storage and retrieval processes to maximize efficiency and performance.
• Document data systems and architecture for technical users and stakeholders.
• Stay updated with the latest cloud technologies and data engineering best practices.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 3+ years of experience in data engineering or a related field, preferably in AWS environments.
• Proficiency in SQL and experience with NoSQL databases.
• Strong understanding of ETL processes and data warehousing concepts.
• Familiarity with big data technologies such as Hadoop or Spark is a plus.
• Experience with scripting languages such as Python or Java for automation tasks.
• Excellent problem-solving skills and attention to detail.

Technologies & Tools

In this position, the successful candidate will utilize a variety of technologies and tools, primarily centered around the AWS ecosystem. Key technologies include Amazon S3 for storage, Amazon Redshift for data warehousing, AWS Glue for ETL processes, and Amazon EMR for big data processing. Experience with data visualization tools such as Tableau or Power BI may also be advantageous, alongside proficiency in programming environments that integrate with these services.

Ideal Candidates

The ideal candidate for the Cloud Data Engineer position possesses a blend of technical expertise and collaborative spirit. They are naturally curious and driven to explore new technologies while maintaining a keen focus on data integrity and performance. Strong communication skills are essential, as the role involves working with diverse teams and stakeholders. Ideal candidates should demonstrate analytical thinking, adaptability to changing requirements, and a proactive attitude towards challenges in a dynamic remote work environment.