AWS Data Engineer
Digital Dhara LLC
Atlanta, GA, United States
25 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Amazon Web Services
Amazon S3
Databases
Continuous Integration
Extract Transform Load (ETL)
DevOps
Amazon DynamoDB
Identity and Access Management
Performance Tuning
Cloud Services
SQL Databases
+10 more
Data Streaming
Data Ingestion
System Availability
Cloudformation
Amazon Relational Database Service
Data Lakes
Pyspark
Functional Programming
Amazon Simple Queue Service (SQS)
Terraform
Job description
- Design, develop, and maintain batch and streaming ETL/ELT pipelinesusing AWS services (Glue, Lambda, Step Functions, etc.).
- Implement data ingestion frameworksfrom diverse sources (APIs, databases, streaming platforms).
- Ensure data quality, governance, and securityacross all pipelines.
- Build and optimize data lakes and warehousesleveraging 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.
Requirements
- Strong experience with AWS cloud services: S3, Glue, Redshift, EMR, Kinesis, Lambda, DynamoDB, RDS, Athena, SNS. SQS.
- Proficiency in SQL, Pythonand PySpark
- Knowledge of data modeling, schema design, and performance tuning.
- Familiarity with CI/CD pipelinesand DevOps practices tool (Terraform, CloudFormation).
- Experience with security best practices(IAM, encryption, compliance).
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