Data Engineer
Tasks
- Define data requirements with stakeholders
- Design and optimize data models
- Design scalable data pipelines
- Develop ETL/ELT pipelines
- Develop data ingestion processes
- Ensure data integrity security compliance
- Implement data governance quality observability
- Monitor and improve data infrastructure performance
- Optimize data storage processing retrieval on AWS
- Process structured and unstructured data
- Support analytics and machine learning initiatives
Perks/Benefits
- Career growth
- Coworking space
- English classes
- English clubs
- MacBook provided
- Mentorship
- Remote work
- Sick days
- Sponsored outings and social events
- Team building events
- Vacation leave
Skills/Tech-stack
AWS | AWS CloudFormation | AWS Glue | AWS Lambda | Amazon Athena | Amazon Kinesis | Amazon Redshift | Amazon S3 | Apache Airflow | Apache Spark | Azure | Azure Data | Azure Data Factory | BigQuery | CI/CD | Data Factory | Data Governance | Data Modeling | Data Observability | Data Quality | Data Streaming | Databricks | Event Driven | Event-driven architecture | GCP | Infrastructure as Code | MLOps | Machine Learning | Python | Real Time | Real-Time Data Streaming | Real-time Data | SQL | Schema Design | Terraform | “as-code”
Education
N/A
Roles
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