Data Engineer (Data & AI solutions)
Tasks
- Build ETL/ELT pipelines
- Collaborate with data science and analytics to define data requirements
- Define data engineering best practices
- Design scalable data lakehouse architectures
- Develop data models with facts dimensions and partitions
- Ensure data quality standards
- Evaluate and implement data technologies
- Implement data warehouse architectures
- Improve onboarding workflows
- Ingest data using SQL and Python
- Optimize data ingestion and pipeline performance
- Orchestrate and automate data workflows
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Glue | Amazon Athena | Amazon EMR | Amazon SageMaker | Apache Airflow | Apache Iceberg | BigQuery | CyberArk | DBT | Data Lakehouse | Data Modeling | Data Warehouse | ELT | ETL | GCP | GenAI | PySpark | Python | SQL
Education
N/A
Roles
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