Data Engineer
Tasks
- Build scalable ETL/ELT pipelines
- Build streaming real time data pipelines
- Create CI/CD workflows
- Deliver curated datasets for analytics and machine learning workflows
- Deploy containerized data infrastructure
- Design and optimize cloud data warehouses
- Develop analytics-ready data models
- Develop data extraction transformation loading workflows
- Implement data validation anomaly detection and logging
- Maintain pipeline documentation and data definitions
- Manage cloud infrastructure using infrastructure as code
- Manage data governance and lineage tracking
- Monitor pipeline health and failed jobs
- Optimize SQL query performance
- Orchestrate and automate data pipelines
Perks/Benefits
Skills/Tech-stack
AWS CloudFormation | AWS Glue | Amazon Kinesis | Amazon Redshift | Anomaly Detection | Apache Airflow | Azure Data | Azure Data Factory | BigQuery | CI/CD | Clustering | DBT | Dagster | Data Factory | Data Lineage | Data Modeling | Data Validation | Data Warehousing | Docker | ELT | ETL | Event Driven | Event-driven architecture | GCP Dataflow | GitHub Actions | GitLab CI | Google Pubsub | Great Expectations | Jenkins | Kafka | Kubernetes | Logging | Looker | Luigi | Partitioning | Power BI | Prefect | Python | Real Time | Real-time Processing | SQL | Snowflake | Snowflake Schema | Star Schema | Streaming Data | Tableau | Terraform | Time processing
Education
N/A
Roles
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