Data Engineer
Tasks
- Automate deployments with CI/CD
- Build ETL/ELT pipelines
- Build real-time streaming data pipelines
- Collaborate with analysts and data scientists
- Containerize data services and manage deployments
- Create analytics-ready datasets
- Design data warehouse schemas
- Enforce data governance lineage and documentation
- Implement data validation anomaly detection monitoring
- Implement event-driven architectures
- Ingest data from APIs SaaS databases files and streaming
- Manage cloud infrastructure with Infrastructure as Code
- Monitor pipeline health and resolve failures
- Optimize cloud costs and reliability
- Optimize warehouse performance
- Orchestrate data workflows
- Support dashboard and reporting data
Perks/Benefits
Skills/Tech-stack
AWS CloudFormation | AWS Glue | Amazon Kinesis | Amazon Redshift | Apache Airflow | Apache Kafka | Azure Data | Azure Data Factory | BigQuery | CI/CD | Cloud Dataflow | DBT | Dagster | Data Factory | Docker | ELT | ETL | GDPR | GitHub Actions | GitLab CI | Google Cloud | Google Cloud Dataflow | Google Pub/Sub | Great Expectations | HIPAA | Jenkins | Kubernetes | Looker | Power BI | Prefect | Pub/Sub | Python | SQL | Scala | Snowflake | Tableau | Terraform
Education
N/A
Roles
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