Senior Data Engineer
Tasks
- Build data cataloging and lineage tracking
- Build real-time data pipelines
- Contribute to CI/CD pipeline design
- Create automated testing for data pipelines
- Design data architectures
- Design scalable batch data pipelines
- Develop ETL/ELT workflows
- Develop cloud data integration solutions
- Implement data quality validation
- Implement infrastructure automation for deployments
- Implement metadata management
- Maintain technical documentation
- Monitor and optimize ETL processes
- Participate in Agile/Scrum delivery
Perks/Benefits
Skills/Tech-stack
AWS Glue | Agile | Airflow | Amazon Redshift | Apache Spark | Azure Data | Azure Data Factory | Azure DevOps | Azure Synapse | Azure Synapse Analytics | BigQuery | CI/CD | Cassandra | Cloud platform | Data Factory | Data Lakes | Data Warehousing | Databricks | Dimensional Modeling | Docker | ELT | ETL | Git | GitHub Actions | Google Cloud | Google Cloud Platform | Infrastructure automation | Java | Jenkins | Kafka | Kubernetes | MongoDB | MySQL | Oracle | PostgreSQL | Python | Release Management | SQL | SQL Server | Scala | Scrum | Snowflake | Snowflake Schema | Star Schema | Streaming | Synapse Analytics | Terraform
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Information Technology | Bachelor of Science in Mathematics
Roles
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