Data Engineer (SQL, PySpark, Snowflake, DBT, Redshift) - AVP/VP
Tasks
- Build data pipelines
- Build lakehouse data assets
- Contribute to platform architecture
- Design data pipelines
- Ensure data governance
- Ensure data quality
- Ensure data security
- Integrate data from APIs and databases
- Load data into Snowflake
- Maintain data pipelines
- Manage Apache Iceberg tables
- Mentor junior engineers
- Model data
- Monitor pipeline performance
- Optimize data processing
- Orchestrate data pipeline workflows
- Participate in code reviews
- Transform data
- Troubleshoot pipeline issues
Perks/Benefits
- N/A
Skills/Tech-stack
AWS CDK | AWS CloudFormation | AWS Glue | AWS IAM | AWS Lambda | AWS S3 | Amazon Athena | Amazon EKS | Amazon EMR | Amazon Kinesis | Amazon Redshift | Apache Airflow | Apache Iceberg | Apache Kafka | Apache Kafka Streams | Apache Spark | CI/CD | DBT | Dagster | Docker | Great Expectations | Kafka | Kafka Streams | Kubernetes | PySpark | Python | REST APIs | SQL | Snowflake | Spark Structured Streaming | Structured Streaming | Terraform
Education
N/A
Roles
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