Senior Associate AWS Data Engineer (225-816)

We are seeking a highly skilled and experienced Senior Associate AWS Data Engineer to join our dynamic team. In this role, you will be responsible for architecting, designing, and implementing robust data solutions that leverage AWS technologies to meet business requirements. You will work closely with data scientists, analysts, and other engineers to create scalable and efficient data pipelines and infrastructure. Your expertise in AWS services, ETL processes, and data warehousing will be crucial in driving our data strategies forward. The ideal candidate is a problem-solver with strong technical acumen, experience in cloud computing, and a passion for leveraging data to drive business success.

Responsibilities

• Design and implement scalable data solutions using AWS technologies and services.
• Create and manage ETL processes to ingest data from multiple sources daily.
• Collaborate with cross-functional teams to define and achieve data infrastructure goals.
• Ensure high-quality data delivery and maintain thorough documentation of processes.
• Develop and optimize data storage, retrieval, and reporting processes for efficiency.
• Maintain and enhance data security protocols to protect sensitive data at all times.
• Utilize AWS best practices to manage and optimize cloud resources effectively.
• Monitor data pipeline performance and implement necessary improvements continuously.
• Provide technical support and troubleshoot data-related issues promptly.
• Stay current on emerging technologies and incorporate them into data strategies.
• Mentor junior data engineers and promote knowledge sharing within the team.
• Drive continuous improvement initiatives to enhance quality and efficiency of data operations.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• At least 5 years of experience in data engineering with a focus on AWS.
• Strong proficiency in AWS services such as S3, Redshift, and Lambda.
• Experience in building and maintaining ETL pipelines and data processing frameworks.
• Proven ability to work collaboratively across diverse technical and non-technical teams.
• Excellent problem-solving skills and a knack for delivering complex data solutions.
• Strong communication skills to effectively convey technical concepts to stakeholders.