Senior Data Engineer
Tasks
- Align data solutions to business requirements
- Build ETL automation
- Conduct data analysis
- Develop and optimize data pipelines
- Document data processes
- Implement data modeling and design
- Manage data engineering solutions
- Perform data quality checks
- Plan data infrastructure
- Provide observability and monitoring
Perks/Benefits
- 401k matching
- Dental insurance
- Health insurance
- Life insurance
- Paid federal holidays
- Paid time off
- Vision insurance
Skills/Tech-stack
AWS Glue | AWS Lambda | Alation | Amazon Athena | Amazon RDS | Apache Airflow | Apache Flink | Apache Hudi | Apache Iceberg | Apache Kafka | Apache NiFi | Apache Spark | Athena | Azure Data | Azure Data Factory | BigQuery | Blob Storage | CCPA | CI/CD | CircleCI | Cloud Dataflow | Collibra | Data Catalog | Data Factory | Data Governance | Data Lakes | Data Lineage | Data Vault | Data Warehousing | Data mesh | Datahub | Dataproc | Delta Lake | Dimensional Modeling | DynamoDB | ECS | EMR | Feature Engineering | GDPR | Git | GitLab | Google Cloud | Google Cloud Dataflow | Hadoop | Hive | Jenkins | Kubeflow | MLflow | Metadata Management | NumPy | OLAP | OLTP | Pandas | Presto | PySpark | PyTorch | Pytest | Python | RBAC | Redshift | S3 | SQL | SciPy | Scikit-learn | Snowflake | Snowflake Schema | Star Schema | TensorFlow | Trino | Unittest
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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