Senior Associate AWS Data Engineer (225-929)

The Senior Associate AWS Data Engineer is an integral member of our data team, responsible for designing, deploying, and managing scalable and robust AWS-based data solutions. This role is pivotal for driving our data infrastructure forward, leveraging AWS technologies to ensure seamless data flow, storage, and processing. The successful candidate will work closely with cross-functional teams to ensure that our data architecture aligns with business needs and scalability. This position is ideal for a driven individual with a deep understanding of AWS services, data engineering best practices, and a passion for leveraging data to drive organizational success. As a Senior Associate AWS Data Engineer, you will have the opportunity to mentor junior engineers and collaborate on innovative solutions to complex data challenges.

Responsibilities

• Design and implement AWS-based data solutions to support business objectives.
• Collaborate with data scientists and analysts to refine data requirements.
• Ensure data accuracy and availability aligns with company standards.
• Develop and maintain ETL processes using AWS services like Glue and Lambda.
• Monitor and optimize the performance of our AWS data architecture.
• Provide technical guidance and mentorship to junior team members.
• Stay updated with AWS developments to recommend new data technologies.
• Coordinate with security teams to implement data protection measures.
• Manage and optimize data lakes using AWS S3 and data pipelines.
• Conduct root cause analysis on data-related system issues promptly.
• Liaise with infrastructure teams to ensure data solutions are scalable.
• Document processes and data engineering best practices comprehensively.

Requirements

• Bachelor's degree in Computer Science, Engineering, or related field required.
• Minimum of five years experience in data engineering with AWS services.
• Proficiency in programming languages such as Python or Java is essential.
• Strong understanding of cloud data warehousing solutions, preferably Redshift.
• Experience with ETL processes using AWS Glue, Lambda, and step functions.
• Ability to work collaboratively in a fast-paced and dynamic environment.
• Strong problem-solving skills and attention to data accuracy detail.