Job Description

Title: Senior AWS Data Engineer

Location: Charlotte NC (Onsite hybrid day 1)

Duration: 12 Months

Summary:

We are seeking a highly skilled and experienced Senior AWS Data Engineer to join our team in Charlotte NC. The ideal candidate will have a minimum of 10 years of experience in data engineering with a strong focus on utilizing AWS services in their most recent roles. As a Senior AWS Data Engineer you will be responsible for designing implementing and maintaining scalable data solutions on the AWS cloud platform. You will collaborate closely with crossfunctional teams to understand business requirements and deliver robust data solutions that drive business insights and decisions.

Responsibilities:

• Design develop and maintain scalable data pipelines and data processing systems on AWS using services such as S3 Glue EMR Redshift Athena and Lambda.
• Implement data ingestion transformation and storage solutions that meet business requirements and ensure data quality and reliability.
• Optimize and tune data pipelines and ETL processes for performance and efficiency.
• Collaborate with data scientists and analysts to support datadriven decisionmaking by providing access to clean reliable and timely data.
• Work closely with DevOps teams to deploy and manage data infrastructure in AWS using infrastructureascode tools such as CloudFormation or Terraform.
• Implement monitoring alerting and logging solutions to ensure the availability reliability and security of data systems.
• Stay current with AWS services and best practices in data engineering and apply them to improve our data infrastructure and processes.
• Mentor and provide technical guidance to junior members of the team.

Requirements:

• Bachelors degree in Computer Science Engineering or related field. Masters degree preferred.
• Minimum of 10 years of experience in data engineering with a focus on building data solutions on AWS.
• Strong proficiency in AWS services such as S3 Glue EMR Redshift Athena Lambda and IAM.
• Solid understanding of data modeling ETL processes and data warehousing concepts.
• Experience with programming languages such as Python Scala or Java for data processing and automation.
• Handson experience with SQL and NoSQL databases.
• Experience with version control systems such as Git.
• Excellent problemsolving skills and attention to detail.
• Strong communication and collaboration skills with the ability to work effectively in a crossfunctional team environment.
• AWS certifications (e.g. AWS Certified Big Data Specialty) are a plus.

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