AWS Data Engineer

Company Overview

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Job Summary

The AWS Data Engineer will be responsible for designing, constructing, and maintaining scalable data pipelines and architectures. This role is essential in transforming raw data into valuable insights and ensuring data quality and accessibility for analytics and business intelligence applications.

Responsibilities

• Design, implement, and maintain data pipelines using AWS services.
• Collaborate with data scientists and analysts to understand data requirements and translate them into technical solutions.
• Monitor and optimize the performance of data systems and workflows.
• Ensure data quality and integrity throughout the data lifecycle.
• Document data processes and architecture for future reference and compliance.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience).
• Proficiency in AWS services such as AWS Glue, Amazon S3, and Amazon Redshift.
• Familiarity with ETL (Extract, Transform, Load) processes and data warehousing concepts.
• Strong analytical and problem-solving skills.
• Experience with SQL and NoSQL databases.
• Knowledge of programming languages such as Python or Java is a plus.

Preferred Skills

• Experience with big data technologies like Apache Spark or Hadoop.
• Familiarity with data visualization tools like Tableau or Power BI is advantageous.
• Understanding of machine learning concepts is a plus.

Experience

• Open to candidates with 0 years of experience; recent graduates are encouraged to apply.

Environment

• The specific work setting (remote, in-office, hybrid) is not specified. Further details can be discussed during the interview process.

Benefits

• [Benefits details were not provided. Please include a list of offered benefits, such as insurance, paid leave, work policies, etc., if available.]