Data Engineer – AI Ops
Tasks
- Automate manual processes
- Build ETL/ELT pipelines
- Build analytics tools for operational insights
- Create infrastructure for data extraction, transformation, and loading
- Implement data quality checks
- Improve scalability and data delivery
- Maintain data pipelines for AI and analytics
- Provide data-related technical support
- Support retraining and feedback loops
- Validate schemas
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Cloud | AWS Glue | AWS Step Functions | Agile | Amazon Athena | Amazon Kinesis | Amazon S3 | Apache Airflow | Apache Hudi | Apache Iceberg | Automated testing | CI/CD | CI/CD Technologies | Container Technologies | Data Contracts | Data Governance | Data Observability | Data Quality | Databricks | Delta Lake | ELT | ETL | Git | JSON | Kafka | OpenSearch | PGVector | Pinecone | Python | SQL | Schema Validation | Security | Spark | Step Functions | Unit Testing | XML
Roles
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