Cloud Data Engineer / AWS - Remote | WFH

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Job Overview

As a Cloud Data Engineer specializing in AWS, you will be responsible for designing, developing, maintaining, and optimizing cloud-based data solutions. You will work closely with cross-functional teams to implement data pipelines and ensure efficient data storage, processing, and analytics. This role demands a robust understanding of cloud architecture, data management, and a proactive approach to solving complex data challenges in a remote working environment.

Job Responsibilities

• Design and implement scalable data pipelines to ingest, process, and analyze large datasets in the AWS cloud environment.
• Maintain and optimize existing data workflows to enhance performance and efficiency.
• Collaborate with data scientists, business analysts, and other stakeholders to understand data requirements and translate them into technical specifications.
• Develop and maintain documentation related to data architecture, data models, and workflow processes.
• Ensure data quality, integrity, and security in accordance with best practices and compliance requirements.
• Monitor system performance and troubleshoot issues affecting data pipelines and storage solutions.
• Stay updated with emerging cloud technologies and propose enhancements or new solutions accordingly.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 3+ years of experience in data engineering, cloud computing, or a related field.
• Proficiency in AWS services such as S3, Redshift, Lambda, and Glue.
• Strong programming skills in languages such as Python, Java, or Scala.
• Experience with ETL (Extract, Transform, Load) processes and tools.
• Familiarity with data modeling techniques and database management systems.
• Knowledge of data warehousing concepts and big data technologies (e.g., Hadoop, Spark) is a plus.

Technologies & Tools

In this position, you will utilize a variety of cutting-edge technologies and tools, including Amazon Web Services (AWS) for cloud solutions, Apache Spark for large-scale data processing, and various ETL tools for data integration. Additionally, you'll work with SQL for database management, and Python/Java for programming tasks, ensuring you have the right technological support to deliver high-quality data solutions.

Ideal Candidates

The ideal candidate for this position possesses a strong analytical mindset with a keen eye for detail. They should be self-motivated, collaborative, and capable of working independently within a remote environment. Effective communication skills are essential for interacting with team members and stakeholders. A passion for emerging technologies and a willingness to continuously learn and adapt in the fast-paced cloud landscape will also contribute to the candidate's success in this role.