Python AWS developer/ data engineer (Only on W2/1099, US independent visa candidates only)
Why This Role Stands Out
This hybrid role offers a fantastic opportunity to leverage your Python and AWS expertise in building impactful data engineering solutions, fostering significant career growth within a reputable tech company. You'll thrive here if you possess strong Python programming skills, experience with production-grade data solutions, and a solid understanding of AWS services, making this an exciting step for your professional journey.
Quick Overview
Job Description
Need independent visa candidates who can work on W2/1099.
Required Technical Skills
Programming
- Strong Python programming skills.
- Experience building production-grade data engineering solutions.
- Knowledge of object-oriented design, testing, and clean coding practices.
AWS
Hands-on experience with several of the following:
- S3
- Glue
- Lambda
- EMR
- Athena
- Redshift
- RDS
- Step Functions
- EventBridge
- CloudWatch
- IAM
- ECS/EKS (preferred)
Data Engineering
- ETL/ELT pipeline development
- Data warehousing concepts
- Batch and streaming data processing
- Data modeling
- Data validation and quality frameworks
- Metadata and lineage concepts
Databases
- Advanced SQL
- PostgreSQL
- MySQL
- Redshift
- Performance tuning and query optimization
Development Practices
- Git
- CI/CD pipelines
- Unit testing
- Docker
- Agile/Scrum development
Preferred Skills
- Apache Spark or PySpark
- Kafka or Kinesis
- Airflow or AWS Managed Workflows
- Infrastructure as Code (Terraform or CloudFormation)
- Data Lake architecture
- Lakehouse concepts
- Experience supporting Machine Learning data pipelines
- Experience with observability and monitoring tools
Desired Experience
- 6–10 years of experience in Data Engineering.
- Experience building cloud-native data platforms on AWS.
- Experience handling large-scale structured and semi-structured datasets.
- Strong understanding of distributed data processing and performance optimization.
- Experience working in enterprise production environments with high availability requirements.
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