Data Engineer - VC Backed Startups
Tasks
- Build cloud data warehouses and lakehouses
- Build self service tools for data discovery and usage
- Define data architecture and technical roadmap
- Design batch and real-time data pipelines
- Develop data models and transformation workflows
- Establish data quality testing lineage observability documentation
- Implement access controls and data governance
- Improve data infrastructure performance scalability and cost efficiency
- Integrate data from internal and third-party systems
- Support machine learning training and feature data pipelines
- Troubleshoot pipeline failures data quality issues and bottlenecks
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airbyte | Airflow | Azure | BigQuery | DBT | Dagster | Databricks | Datahub | Delta Lake | Docker | DynamoDB | Fivetran | Flink | GCP | Go | Great Expectations | Java | Kafka | Kinesis | Kubernetes | MongoDB | MySQL | OpenLineage | PostgreSQL | Prefect | Pub_Sub | Python | Redshift | S3 | SQL | Scala | Snowflake | Spark | Terraform
Education
N/A
Roles
Regions
Countries
States
Cities
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