Senior Data Engineer
Tasks
- Automate infrastructure with Terraform
- Build automated testing for data pipelines
- Build cloud data integration solutions
- Collaborate in agile/scrum teams
- Design Data Lake and Data Warehouse architectures
- Design real-time data pipelines
- Design scalable batch data pipelines
- Develop ETL/ELT workflows
- Implement metadata cataloging and data lineage
- Implement streaming data solutions
- Maintain CI CD pipelines and deployment processes
- Maintain technical documentation and runbooks
- Monitor and optimize ETL processes
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Glue | Agile | Airflow | Amazon Redshift | Apache Spark | Azure | Azure Data | Azure Data Factory | Azure DevOps | Azure Synapse | Azure Synapse Analytics | BigQuery | CI/CD | Cassandra | Cloud platform | Data Factory | Data Governance | Data Lakes | Data Modeling | Data Quality | Data Validation | Data Warehousing | Databricks | Dimensional Modeling | Docker | ELT | ETL | Encryption | Git | GitHub Actions | Google Cloud | Google Cloud Platform | Indexing | Infrastructure automation | Java | Jenkins | Kafka | Kubernetes | MongoDB | Monitoring | MySQL | Oracle | Partitioning | Performance Tuning | PostgreSQL | Python | Query Optimization | SQL | SQL Server | Scala | Scrum | Snowflake | Snowflake Schema | Star Schema | Synapse Analytics | Terraform
Education
Roles
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