Data Engineer with AWS

Company Overview

Information regarding the company is not provided.

Job Summary

The Data Engineer with AWS will be responsible for designing, building, and managing scalable data pipelines using AWS services. This role plays a crucial part in ensuring that the organization can store, process, and analyze data effectively to drive business insights and decision-making.

Responsibilities

• Design and implement data pipelines and workflows using AWS services such as Amazon S3, AWS Lambda, and Amazon Redshift.
• Collaborate with data scientists and analysts to understand data requirements and optimize the use of data for analytics.
• Monitor and maintain data pipeline performance, ensuring data quality and integrity.
• Develop and implement data modeling strategies to facilitate efficient data access and storage.
• Troubleshoot and resolve data-related issues in a timely manner.
• Stay updated with the latest developments in AWS services and data engineering best practices.

Qualifications

• Education: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
• Technical Skills:
  • Proficiency in AWS data services (e.g., S3, Glue, Redshift).
  • Strong understanding of ETL (Extract, Transform, Load) processes.
  • Experience with programming languages such as Python, Java, or Scala.
  • Familiarity with SQL and database management systems.
  • Knowledge of distributed computing frameworks (e.g., Apache Spark).
  • Understanding of data modeling and data warehousing concepts.
• Soft Skills:
  • Strong problem-solving and analytical skills.
  • Effective communication and collaboration abilities.
  • Attention to detail and a commitment to quality.

Preferred Skills

• Experience with big data technologies (e.g., Hadoop, Spark).
• Familiarity with machine learning concepts and tools.
• Knowledge of data visualization tools (e.g., Tableau, Power BI).

Experience

• A minimum of 2-4 years of experience in data engineering or a related field is preferred.

Environment

• The typical work setting is in an office environment, where teamwork and collaboration are encouraged. Remote or hybrid work may be considered depending on company policy.

Salary

Information regarding salary is not provided.

Growth Opportunities

Information regarding growth opportunities within the company is not provided.

Benefits

Information regarding offered benefits is not provided.