Data Engineer
Tasks
- Automate deployments with CI/CD
- Build ETL/ELT pipelines
- Collaborate with analysts and data scientists
- Containerize and orchestrate data services
- Design analytics optimized schemas
- Develop and monitor streaming pipelines
- Document data models and pipelines
- Enforce data governance and documentation
- Ensure low latency ingestion
- Implement data validation and logging
- Ingest data from APIs and databases
- Maintain data warehouses
- Manage cloud infrastructure with Infrastructure as Code
- Optimize SQL query performance
- Orchestrate data workflows
- Support BI dashboard development
Perks/Benefits
Skills/Tech-stack
AWS CloudFormation | AWS Glue | Amazon Kinesis | Amazon Redshift | Apache Airflow | Azure Data | Azure Data Factory | BigQuery | CI/CD | Cloud Dataflow | Cloud Pub/Sub | Clustering | DBT | Dagster | Data Factory | Data Governance | Data Modeling | Data Quality | Docker | ELT | ETL | GDPR | GitHub Actions | GitLab CI | Google Cloud | Google Cloud Dataflow | Google Cloud Pub/Sub | Great Expectations | HIPAA | Jenkins | Kafka | Kubernetes | Lineage | Luigi | Partitioning | Prefect | Pub/Sub | Python | Query Tuning | SQL | Scala | Snowflake | Snowflake Schema | Star Schema | Streaming Data | Terraform
Education
N/A
Roles
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