Cloud Data Engineer AWS

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Written by AI from the job title and company, not by Jobs via Dice, so some details may not match this job. The employer's own page has the real description.

Job Overview

As a Cloud Data Engineer specializing in AWS at Jobs via Dice, you will play a pivotal role in designing, implementing, and managing big data solutions on the Amazon Web Services platform. You will work closely with data scientists, software engineers, and IT teams to create robust data pipelines and infrastructures that facilitate data-driven decision-making. Your expertise in cloud technologies will allow you to maintain high performance and reliability across data solutions while ensuring compliance with industry standards and best practices.

Job Responsibilities

• Design, develop, and maintain scalable data pipelines using AWS services such as AWS Glue, Amazon S3, and Amazon Redshift.
• Collaborate with data architects and other engineers to build and optimize data models and structures.
• Implement data ingestion processes and transform datasets to provide high-quality data to users.
• Ensure data governance and security compliance across data storage and processing environments.
• Monitor and troubleshoot data workflows, employing best-practice methodologies for quality assurance.
• Utilize advanced analytics and machine learning tools to enhance data utilization and accessibility.
• Participate in design reviews and code assessments to ensure clean coding practices and optimal performance.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
• Minimum of 3 years of experience as a Data Engineer or similar role, specifically with cloud technologies.
• Strong proficiency in AWS services and tools, including AWS Lambda, Redshift, and RDS.
• Experience with ETL tools and data integration solutions.
• Proficiency in SQL and one or more programming languages such as Python, Java, or Scala.
• Knowledge of data warehousing and big data technologies such as Hadoop or Spark.
• Excellent problem-solving skills and a keen attention to detail.

Technologies & Tools

In this role, you will utilize a variety of technologies and tools including but not limited to AWS CloudFormation for infrastructure as code, Apache Kafka for real-time data streaming, Tableau for data visualization, Git for version control, and Terraform for provisioning cloud infrastructure. Familiarity with Docker and Kubernetes for containerization and orchestration is advantageous.

Ideal Candidates

The ideal candidates for the Cloud Data Engineer position will possess a robust analytical mindset paired with a proactive approach to problem-solving. They will be adaptable, with the ability to thrive in a fast-paced, dynamic environment. Strong interpersonal skills are essential for effective collaboration with cross-functional teams. Additionally, a passion for continuous learning and staying updated with emerging cloud technologies will set successful candidates apart in this role.