AWS Data Engineer

AWS Data Engineer

Roles & Responsibilities:

• Liaise with coworkers and clients to elucidate the requirements for each data engineering task.
• Conceptualize and generate infrastructure that allows

  big data

  to be accessed and analyzed.
• Reformulate existing frameworks to optimize their functioning and performance.
• Test implemented structures rigorously to ensure that they are fit for use.
• Prepare

  raw data for manipulation by data scientists

  , ensuring data quality and readiness.
• Detect and correct errors in your work promptly and efficiently.
• Ensure that your work remains backed up and readily accessible to relevant coworkers.
• Remain up-to-date with industry standards and technological advancements that will improve the quality of your outputs.
• Design, build, and maintain scalable and robust data pipelines on the AWS platform.
• Implement data storage solutions using relevant AWS services.

Skills Required:

• Proficiency in

  AWS Data Services

  (e.g., S3, Glue, Redshift, EMR, Kinesis, Lambda, Athena).
• Strong understanding of

  big data concepts

  and architectures.
• Experience in designing and building data infrastructure.
• Ability to optimize existing data frameworks.
• Strong testing and debugging skills for data pipelines and infrastructure.
• Proficiency in data preparation and cleansing techniques.
• Experience with data backup and accessibility best practices.
• Eagerness to stay updated with industry standards and technological advancements in data engineering.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.

QUALIFICATION:

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.