AWS Data Engineer

AlgebraIT; Austin (TX); On-site; USD 100,000 - 130,000; Full time

Job summary

AlgebraIT is hiring an AWS Data Engineer in Austin, Texas. This position requires at least 3 years of experience and a Bachelor’s degree in Computer Science or similar. Responsibilities include developing and maintaining data pipelines, automating workflows, and ensuring data quality.

The ideal candidate should be proficient in Python and SQL, have experience with AWS services like Glue and Redshift, and possess strong communication skills. Join us to leverage AWS tools in building robust data solutions.

Qualifications

• 3+ years of experience in data engineering with AWS.
• Proficiency in Python, SQL, and big data tools.
• Experience with AWS services such as Lambda and EC2.

Responsibilities

• Develop and maintain data pipelines using AWS services.
• Automate data ingestion and processing workflows.
• Collaborate with cross-functional teams to ensure robust data solutions.
• Monitor and optimize data pipeline performance.
• Ensure data quality and implement security best practices.
• Integrate data from multiple sources for analytics.
• Implement data validation and error-handling processes.
• Write and maintain technical documentation for data workflows.
• Manage and configure cloud infrastructure related to data pipelines.
• Provide technical support and troubleshooting for data-related issues.

Skills

AWS Data Engineering

Python

SQL

Big Data Tools

Communication Skills

Teamwork

Education

Bachelor’s in Computer Science or similar

Tools

AWS Glue

AWS Redshift

AWS S3

AWS Lambda

AWS EC2

Job description

AlgebraIT is hiring an AWS Data Engineer in Austin, Texas! If you have at least 3 years of experience and a Bachelor’s in Computer Science or similar, we invite you to apply. This position requires expertise in building data workflows and leveraging AWS tools such as Glue, Redshift, and S3.

Key Responsibilities:

• Develop and maintain data pipelines using AWS services.
• Automate data ingestion and processing workflows.
• Collaborate with cross-functional teams to ensure robust data solutions.
• Monitor and optimize data pipeline performance.
• Ensure data quality and implement security best practices.
• Integrate data from multiple sources for analytics.
• Implement data validation and error-handling processes.
• Write and maintain technical documentation for data workflows.
• Manage and configure cloud infrastructure related to data pipelines.
• Provide technical support and troubleshooting for data-related issues.

Qualifications:

• 3+ years of experience in data engineering with AWS.
• Proficiency in Python, SQL, and big data tools.
• Experience with AWS services such as Lambda and EC2.
• Strong communication and teamwork skills.