Data Technology DMX SSA Data Engineer
Tasks
- Adopt AI by identifying use cases and driving innovation
- Architect design and develop secure scalable applications
- Build data platform and services
- Convert business requirements into applications and tools
- Develop architecture best practices
- Ensure reliability availability latency scalability
- Evaluate architecture design options
- Implement AI solutions
- Improve platform using modern technologies
- Integrate services with data science platforms
- Maintain documentation and design decisions
Perks/Benefits
- Collaborative workspaces
- Employee benefits
- Employee resource groups
- Flexible working arrangements
- Global orientation program
- Learning and development opportunities
Skills/Tech-stack
Amazon DynamoDB | Amazon Redshift | Autosys | Avro | Bash | BigQuery | C++ | CI/CD | Cassandra | Control-M | Data Lake | Data Warehousing | Docker | Git | Go | Infrastructure as Code | JSON | Java | Kubernetes | Lakehouse | MongoDB | MySQL | NoSQL | Oracle | Parquet | PostgreSQL | Python | Relational databases | Reliability | SQL Server | Scala | Scalability | Security | Snowflake | Terraform | “as-code”
Education
N/A
Roles
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