AWS Data Engineer Austin, Texas Glue, Redshift, and S3

ESR Healthcare; Austin (TX); On-site; USD 80,000 - 120,000; Full time

Job summary

An innovative company is seeking an AWS Data Engineer to craft and manage data workflows using cutting-edge AWS services like Glue, Redshift, and S3. This role requires a strong foundation in data engineering, along with proficiency in Python and SQL. You will be responsible for developing and maintaining data pipelines, automating workflows, and ensuring data quality. Join a dynamic team where your contributions will directly impact data solutions and analytics. If you are passionate about leveraging cloud technology to drive data insights, this opportunity is perfect for you!

Qualifications

• 3+ years of experience in data engineering with AWS tools.
• Proficiency in Python and SQL for building data workflows.

Responsibilities

• Develop and maintain data pipelines using AWS services.
• Collaborate with teams to ensure robust data solutions.

Skills

Data Engineering

Python

SQL

Communication Skills

Teamwork

Education

Bachelor's in Computer Science

Tools

AWS Glue

AWS Redshift

AWS S3

AWS Lambda

AWS EC2

Job description

AWS Data Engineer in Austin, Texas - Glue, Redshift, and S3

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:

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

Qualifications:

1. 3+ years of experience in data engineering with AWS.
2. Proficiency in Python, SQL, and big data tools.
3. Experience with AWS services such as Lambda and EC2.
4. Strong communication and teamwork skills.