Data Engineer
Tasks
- Build and deploy AI/ML models
- Build scalable data pipelines
- Collaborate with cross-functional teams
- Develop data warehouses and lakehouses
- Implement ETL/ELT workflows
- Monitor and optimize data infrastructure
- Stay updated with big data and AI technologies
Perks/Benefits
Skills/Tech-stack
AI | AWS | AWS Glue | AWS Lambda | AWS RDS | AWS Redshift | Amazon Athena | Amazon DynamoDB | Amazon EMR | Amazon Kinesis | Apache Spark | Azure | Azure Data | Azure Data Factory | Big Data | Big Data Ecosystem | Cloud Platforms | Data Ecosystem | Data Factory | Data Governance | Data Lake | Data Lake Storage | Data Pipelines | Data Warehousing | Databricks | GCP | Hadoop | Java | ML | Open Source | Open-source tools | Palantir | Performance optimization | PySpark | Python | Quantexa | SAS | Scala | Snowflake
Education
Roles
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