Data Engineer III - Python/Spark/AWS
Tasks
- Automate deployments and testing
- Build event-driven architectures
- Collaborate with business partners
- Deploy and maintain applications
- Design data storage and access
- Develop and maintain microservices
- Develop data pipelines
- Document data requirements
- Ensure data accuracy, completeness, and timeliness
- Implement cloud data solutions
- Integrate data into analytics platforms
- Process large scale data
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Certified | AWS Certified Data Engineer | AWS Certified Data Engineer Associate | AWS Certified Solutions Architect | AWS Glue | AWS IAM | AWS Lambda | AWS S3 | AWS Step Functions | Agile | Amazon Athena | Amazon EKS | Amazon Redshift | Amazon Web Services | Apache Airflow | Apache Spark | BigQuery | CI/CD | Certified Solutions Architect | Continuous Delivery | Continuous integration | DBT | Data Lakehouse | Data Warehousing | Databricks | Distributed Systems | Docker | End to End | End-to-End Testing | Infrastructure as Code | Integration Testing | Kafka | Kubernetes | NoSQL | PySpark | Python | REST APIs | SDLC | SQL | Snowflake | Solutions architect | Spark Structured Streaming | Step Functions | Structured Streaming | Terraform | Trino | Unit Testing | Web Services | “as-code”
Roles
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