Data Engineer - AI Practice Team
Tasks
- Automate data engineering patterns
- Collaborate with AI/ML engineers
- Design and build scalable ETL pipelines
- Establish data quality and governance practices
- Implement data standardization and tagging
- Integrate data sources into centralized platforms
- Optimize data workflows
- Translate analytics requirements into data solutions
Perks/Benefits
- 401k plan
- Dental insurance
- Disability Leave
- Employee assistance plan
- Flexible savings account
- Health savings account
- Life insurance
- Medical insurance
- Paid Holidays
- Paid vacation
- Parental leave
- Vision insurance
Skills/Tech-stack
ADLS | AI ML data patterns | AI/ML | AI/ML data | AWS Glue | Airflow | Azure Data | Azure Data Factory | BigQuery | CICD | Cloud services | Cloud services (S3 | Code review | Content extraction | DBT | Data Factory | Data Governance | Data Lakes | Data Modeling | Data Quality | Data patterns | Databricks | Embeddings | Event Hubs | Feature Engineering | GCS | Kafka | Kinesis | Lineage | Metadata tagging | Normalization | Python | Retrieval-Augmented Generation | SQL | Snowflake | Spark | Synapse | Testing | Unstructured Data | Vector Databases | Version control
Education
Roles
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