Lead AWS Data Engineer

Atlanta, GA - USA

Monthly Salary: Not Disclosed

Posted on: 31-10-2025

Vacancies: 1 Vacancy

Job Summary

Hiring: W2 Candidates Only

Visa:Open to any visa typewith valid work authorization in the USA

We are seeking an experienced AWS Lead Data Engineer to join our dynamic team. The ideal candidate will have 8 years of experience in data engineering with a strong focus on AWS technologies. This role involves designing developing and maintaining scalable data pipelines and processing systems. The candidate should be adept at managing and optimizing data architectures and be passionate about data-driven solutions. Knowledge of machine learning is a plus.

Key Responsibilities:

Design and implement scalable data pipelines using AWS services such as Glue Redshift S3 Lambda EMR Athena
Develop and maintain ELT processes to transform and integrate data from various sources.
Collaborate with data scientists analysts and other stakeholders to understand data requirements and deliver high-quality data solutions.
Optimize and tune performance of data pipelines and queries.
Ensure data quality and integrity through robust testing and validation processes.
Implement data security and compliance best practices.
Monitor and troubleshoot data pipeline issues and ensure timely resolution.
Stay updated with the latest developments in AWS data engineering technologies and best practices.

Required Skills and Qualifications:

Bachelor s or Master s degree in Computer Science Information Technology or a related field.
8 years of experience in data engineering with a focus on AWS technologies.
Expertise in AWS services such as Glue Redshift S3 Lambda EMR Athena
Strong programming skills in Python Pandas SQL
Experience with database systems such as AWS RDS Postgres and SAP HANA.
Knowledge of data modeling ETL processes and data warehousing concepts.
Familiarity with CI/CD pipelines and version control systems (e.g. Git).
Experience writing infrastructure as code using Terraform.
Familiarity with Glue Notebooks Sagemaker Notebooks Textract Rekognition Bedrock and any GenAI/LLM tools
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills.

Nice to Have:

AWS Certification (e.g. AWS Certified Data Analytics AWS Certified Solutions Architect).
Experience with machine learning frameworks and libraries (e.g. TensorFlow PyTorch Scikit-learn).
Knowledge of AWS SageMaker and its integration within data pipelines.
Knowledge of big data technologies such as Apache Spark Hadoop or Kafka.
Experience with data visualization tools like Tableau Power BI or AWS QuickSight.
Familiarity with Azure DevOps and Azure Pipelines.
Familiarity with Data Catalog and Governance tools such as AWS DQ Collibra and profiling tools such as AWS Databrew

Hiring: W2 Candidates Only Visa:Open to any visa typewith valid work authorization in the USA We are seeking an experienced AWS Lead Data Engineer to join our dynamic team. The ideal candidate will have 8 years of experience in data engineering with a strong focus on AWS technologies. This role invo...

Hiring: W2 Candidates Only

Visa:Open to any visa typewith valid work authorization in the USA

Key Responsibilities:

Design and implement scalable data pipelines using AWS services such as Glue Redshift S3 Lambda EMR Athena
Develop and maintain ELT processes to transform and integrate data from various sources.
Collaborate with data scientists analysts and other stakeholders to understand data requirements and deliver high-quality data solutions.
Optimize and tune performance of data pipelines and queries.
Ensure data quality and integrity through robust testing and validation processes.
Implement data security and compliance best practices.
Monitor and troubleshoot data pipeline issues and ensure timely resolution.
Stay updated with the latest developments in AWS data engineering technologies and best practices.

Required Skills and Qualifications:

Bachelor s or Master s degree in Computer Science Information Technology or a related field.
8 years of experience in data engineering with a focus on AWS technologies.
Expertise in AWS services such as Glue Redshift S3 Lambda EMR Athena
Strong programming skills in Python Pandas SQL
Experience with database systems such as AWS RDS Postgres and SAP HANA.
Knowledge of data modeling ETL processes and data warehousing concepts.
Familiarity with CI/CD pipelines and version control systems (e.g. Git).
Experience writing infrastructure as code using Terraform.
Familiarity with Glue Notebooks Sagemaker Notebooks Textract Rekognition Bedrock and any GenAI/LLM tools
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills.

Nice to Have:

AWS Certification (e.g. AWS Certified Data Analytics AWS Certified Solutions Architect).
Experience with machine learning frameworks and libraries (e.g. TensorFlow PyTorch Scikit-learn).
Knowledge of AWS SageMaker and its integration within data pipelines.
Knowledge of big data technologies such as Apache Spark Hadoop or Kafka.
Experience with data visualization tools like Tableau Power BI or AWS QuickSight.
Familiarity with Azure DevOps and Azure Pipelines.
Familiarity with Data Catalog and Governance tools such as AWS DQ Collibra and profiling tools such as AWS Databrew