Data Engineer - AWS Mid/Senior
Tasks
- Automate infrastructure deployment using infrastructure-as-code
- Build and maintain data lakes and data warehouses
- Collaborate with data scientists and DevOps teams
- Design and implement scalable data pipelines using AWS
- Develop and optimize ETL workflows
- Ensure data integrity, governance, and security
- Implement real-time and batch data processing
- Monitor and troubleshoot data pipelines
- Optimize SQL and NoSQL databases for performance
Perks/Benefits
- Career growth programs
- Health insurance
- Hybrid work
- Life insurance
- Referral program
- Training and certifications programs
- Work-life balance
Skills/Tech-stack
AWS | AWS CloudFormation | AWS Glue | AWS Lake Formation | AWS Lambda | AWS Step Functions | Airflow | Amazon Athena | Amazon ECS | Amazon EMR | Amazon Kinesis | Amazon Redshift | Amazon S3 | Apache Spark | CI/CD | CloudWatch | Dagster | Datadog | Docker | DynamoDB | ETL | Elasticsearch | Encryption | IAM | Kubernetes | Lake Formation | OpenSearch | Prefect | Python | RDS | SQL | Step Functions | Terraform
Education
N/A
Roles
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