Lead Data Engineer
Tasks
- Build ETL/ELT frameworks
- Build data ingestion and transformation pipelines
- Conduct code reviews architecture reviews
- Design scalable batch data pipelines
- Design scalable real-time data pipelines
- Develop reusable data frameworks libraries pipeline templates
- Drive CI CD automated testing observability adoption
- Drive cost-optimization strategies
- Enhance developer tooling and platform capabilities
- Ensure data quality lineage observability governance
- Ensure high availability fault tolerance disaster recovery
- Implement infrastructure-as-code
- Implement secure data access controls
- Implement stream processing solutions
- Operate cloud native data platforms
- Optimize data jobs performance scalability cost
- Provide technical leadership mentorship design guidance
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS CloudFormation | Airflow | Amazon Redshift | Amazon S3 | Apache Flink | Apache Spark | Avro | Azure | Azure Data | Azure Data Lake | Azure Data Lake Storage | BigQuery | CI/CD | Cloud Networking | Cloud Storage | Data Lake Storage | Data Modeling | Databricks | Dimensional Modeling | Disaster Recovery | Docker | Dynatrace | ELT | EMR | ETL | GCP | GDPR | Gatling | GitHub Actions | Go | Google Cloud | Google Cloud Storage | IAM | JMeter | JUnit | Java | Jenkins | Kafka | Kubernetes | Monitoring | ORC | Observability | PCI DSS | Parquet | Prometheus | Python | SQL | Snowflake | Snowflake Schema | Splunk | Star Schema | Terraform
Education
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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