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