Data Engineer – AI Ops
Tasks
- Automate manual processes
- Build data extraction, transformation, loading infrastructure
- Build data pipelines
- Collaborate with data, product, and engineering teams
- Create analytics tools for business metrics
- Design ETL/ELT workflows
- Ensure source to target data integrity
- Implement data quality checks
- Optimize data delivery
- Provide basic data observability
- Support AI ML retraining and feedback loops
- Validate schemas
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Kinesis | AWS Security | AWS Step Functions | Agile | Amazon Athena | Amazon CodeCommit | Amazon Glue | Amazon S3 | Apache Airflow | Apache Hudi | Apache Iceberg | Apache Spark | CI/CD | Container Technologies | Data Observability | Data Quality | Data orchestration | Databricks | Delta Lake | ELT | ETL | Git | Kafka | OpenSearch | PGVector | Pinecone | Python | SQL | Schema Validation | Step Functions | Unit Testing | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Engineering
Roles
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