Cloud Data Engineer / AWS -- Remote | WFH

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Job Overview

The Cloud Data Engineer will play a pivotal role in designing, developing, and maintaining data-driven solutions utilizing AWS cloud technologies. This role is responsible for deploying scalable cloud-based data architectures, ensuring data integrity, and optimizing data pipelines to meet the growing demands of data analytics within the organization. The ideal candidate will collaborate with data architects, analysts, and business stakeholders to create robust data solutions that enhance operational efficiency and inform decision-making processes.

Job Responsibilities

• Design and implement ETL processes to move data between AWS services and on-premise systems.
• Develop and maintain data models, databases, and large-scale data processing pipelines.
• Integrate various data sources to establish a unified data repository.
• Analyze and optimize data workflows for performance and reliability.
• Collaborate with cross-functional teams to gather requirements and ensure data is accessible and usable.
• Implement security and compliance best practices for data handling in the cloud environment.
• Monitor and troubleshoot data pipeline failures and conduct root cause analysis.
• Stay abreast of the latest developments in data engineering and cloud technologies to drive continuous improvement initiatives.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
• 3+ years of experience in data engineering or data management roles.
• Proficiency in Amazon Web Services (AWS) including services such as S3, Redshift, Glue, Lambda, and RDS.
• Strong experience with programming languages such as Python, Java, or Scala.
• Hands-on experience with SQL and NoSQL databases.
• Knowledge of data modeling and database design principles.
• Familiarity with data warehousing and big data technologies (e.g., Hadoop, Spark) is a plus.
• Excellent analytical and problem-solving skills.

Technologies & Tools

The Cloud Data Engineer will utilize a variety of technologies and tools within the Amazon Web Services (AWS) ecosystem, including but not limited to AWS S3 for storage, AWS Lambda for serverless computing, AWS Glue for ETL processes, and Amazon Redshift for data warehousing. Additionally, knowledge of database management systems such as PostgreSQL or MongoDB will be beneficial, along with proficiency in data orchestration tools like Apache Airflow and workflow management utilities.

Ideal Candidates

Ideal candidates for the Cloud Data Engineer position are those who possess a strong technical acumen blended with excellent communication skills. They should be proactive and results-oriented, with a demonstrated ability to work independently and collaboratively in a remote setting. Candidates should have a passion for data and a commitment to continuous improvement, showcasing a strong willingness to learn and adapt to the evolving cloud landscape. Problem-solving capabilities, attention to detail, and the ability to effectively prioritize tasks are essential characteristics of successful applicants.