Senior AWS Data Engineer: Scalable Data Lakes & Pipelines

Droisys; Atlanta (GA); On-site; USD 82,656 - 86,788; Full time

Job summary

A prominent technology firm in Atlanta, GA, is seeking an AWS Data Engineer to design, develop, and maintain scalable data pipelines on AWS. You will be responsible for building reliable ETL/ELT pipelines while ensuring data quality and security. Ideal candidates should have strong hands-on experience with AWS services, proficiency in SQL, Python, and PySpark, and a solid understanding of data modeling. This role offers competitive pay and a commitment to diversity and inclusion in the workplace.

Qualifications

• Strong hands-on experience with AWS cloud services.
• Proficiency in SQL, Python, and PySpark.
• Solid understanding of data modeling, schema design, and performance tuning.
• Experience with CI/CD pipelines and DevOps practices.
• Strong knowledge of AWS security best practices.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines using AWS services.
• Implement data ingestion frameworks from various data sources.
• Ensure data quality, governance, and security across data pipelines.
• Build and manage data lakes and warehouses with AWS tools.
• Collaborate with data scientists and analysts for high-quality datasets.
• Monitor and optimize data workflows for performance.

Skills

AWS cloud services

SQL

Python

PySpark

data modeling

schema design

performance tuning

CI/CD pipelines

DevOps practices

Tools

Terraform

CloudFormation

Job description

A prominent technology firm in Atlanta, GA, is seeking an AWS Data Engineer to design, develop, and maintain scalable data pipelines on AWS. You will be responsible for building reliable ETL/ELT pipelines while ensuring data quality and security. Ideal candidates should have strong hands-on experience with AWS services, proficiency in SQL, Python, and PySpark, and a solid understanding of data modeling. This role offers competitive pay and a commitment to diversity and inclusion in the workplace.