AWS cloud data engineer

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

Job Overview

Pro Integrate is seeking an experienced AWS Cloud Data Engineer who will play a pivotal role in designing, developing, and managing robust data pipelines on the AWS platform. The successful candidate will collaborate with cross-functional teams to implement data-driven solutions, ensuring efficient data storage, retrieval, and processing. This role requires a strong foundation in data engineering principles, cloud computing, and database management, along with a proactive attitude towards tackling complex data challenges.

Job Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes using AWS services.
• Implement data ingestion processes from various sources, ensuring data integrity and accuracy.
• Collaborate with data scientists and analysts to understand data requirements and deliver appropriate solutions.
• Optimize data storage solutions using database systems such as Redshift, S3, and DynamoDB.
• Monitor and troubleshoot data processes and systems to ensure high availability and performance.
• Documentation of data engineering design and processes to ensure compliance and governance.
• Stay updated with the latest trends in cloud computing and big data technologies.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in data engineering, with hands-on experience in AWS technologies.
• Proficient in programming languages such as Python, Java, or Scala.
• Strong understanding of data modeling, data warehousing, and ETL tools.
• Experience with cloud services, specifically AWS offerings such as EC2, S3, Lambda, and Redshift.
• Familiarity with SQL and NoSQL databases.
• Excellent problem-solving skills and attention to detail.

Technologies & Tools

The AWS Cloud Data Engineer will work extensively with a variety of technologies and tools, including but not limited to AWS (EC2, S3, Lambda, Redshift, Glue), ETL tools such as Apache NiFi or AWS Glue, programming languages like Python and Java, data warehousing solutions, and monitoring tools like CloudWatch. Familiarity with containerization technologies such as Docker and Kubernetes is also advantageous.

Ideal Candidates

The ideal candidate will possess a strong analytical mindset coupled with excellent communication skills to effectively collaborate with team members and stakeholders. They should be passionate about data engineering and demonstrate a commitment to continuous learning and adaptation in the rapidly evolving field of cloud technologies. A proactive and solution-oriented approach to problem-solving, along with the ability to manage multiple projects simultaneously, will be key traits of a successful applicant.