AWS Data Engineer

AWS Data Engineer

Job Summary:

The AWS Data Engineer will play a crucial role in the design, development, and implementation of data solutions within our cloud ecosystem. This position is pivotal for leveraging cutting-edge technologies to transform raw data into actionable insights, ultimately enhancing business decision-making and operations.

Key Responsibilities:

• Design and implement scalable data pipelines using AWS services like Glue and Redshift.
• Develop, test, and maintain data processing workflows utilizing Python and PySpark to ensure high performance and reliability.
• Collaborate with cross-functional teams to gather requirements and deliver tailored data solutions that facilitate analytics and reporting.
• Optimize data models and storage solutions to improve query performance and reduce costs within the AWS ecosystem.
• Monitor and troubleshoot data pipeline issues, ensuring minimal downtime and data accuracy.
• Document data architecture and processes, providing clear guidelines for future development and maintenance.

Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Data Engineer, particularly in AWS environments.
• Strong proficiency in Python and experience with PySpark for data manipulation and transformation.
• Hands-on experience with AWS Glue, Redshift, and other AWS data services.
• Solid understanding of data modeling, ETL processes, and data warehousing concepts.
• Excellent analytical and problem-solving skills, paired with attention to detail.

Preferred Qualifications:

• Experience with data visualization tools such as Tableau, Power BI, or QuickSight.
• Knowledge of other programming languages, such as Java or Scala, is a plus.
• Familiarity with machine learning concepts and frameworks.
• AWS certifications (e.g., AWS Certified Data Analytics, AWS Certified Solutions Architect) are highly desirable.