What are the responsibilities and job description for the Sr AWS Data Engineer/Atlanta, GA/Only Locals/Hybrid position at ETS LLC?
Job Details
Sr AWS Data Engineer
Atlanta, GA
Only Locals
Hybrid
Key Responsibilities:
Design, develop, and maintain batch and streaming ETL/ELT pipelines using AWS services (Glue, Lambda, Step Functions, etc.).
Implement data ingestion frameworks from diverse sources (APIs, databases, streaming platforms).
Ensure data quality, governance, and security across all pipelines.
Build and optimize data lakes and warehouses leveraging Amazon S3, Redshift, Athena, and Lake Formation.
Collaborate with data scientists, analysts, and business stakeholders to deliver reliable datasets.
Monitor and troubleshoot data workflows, ensuring high availability and performance.
Stay updated with emerging AWS technologies and recommend improvements.
Required Skills & Qualifications
Strong experience with AWS cloud services: S3, Glue, Redshift, EMR, Kinesis, Lambda, DynamoDB, RDS, Athena, SNS. SQS.
Proficiency in SQL, Python and PySpark
Knowledge of data modeling, schema design, and performance tuning.
Familiarity with CI/CD pipelines and DevOps practices tool (Terraform, CloudFormation).
Experience with security best practices (IAM, encryption, compliance).
Roles & Responsibilities
Key Responsibilities:
Design, develop, and maintain batch and streaming ETL/ELT pipelines using AWS services (Glue, Lambda, Step Functions, etc.).
Implement data ingestion frameworks from diverse sources (APIs, databases, streaming platforms).
Ensure data quality, governance, and security across all pipelines.
Build and optimize data lakes and warehouses leveraging Amazon S3, Redshift, Athena, and Lake Formation.
Collaborate with data scientists, analysts, and business stakeholders to deliver reliable datasets.
Monitor and troubleshoot data workflows, ensuring high availability and performance.
Stay updated with emerging AWS technologies and recommend improvements.
Required Skills & Qualifications
Strong experience with AWS cloud services: S3, Glue, Redshift, EMR, Kinesis, Lambda, DynamoDB, RDS, Athena, SNS. SQS.
Proficiency in SQL, Python and PySpark
Knowledge of data modeling, schema design, and performance tuning.
Familiarity with CI/CD pipelines and DevOps practices tool (Terraform, CloudFormation).
Experience with security best practices (IAM, encryption, compliance).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $50 - $60