Senior Data Engineer
Tasks
- Build CI CD and deployment automation
- Build cloud data integration solutions
- Collaborate with Agile scrum teams
- Design data architectures and data models
- Design scalable batch and real time data pipelines
- Develop automated testing for data pipelines
- Develop secure ETL ELT workflows
- Implement metadata management and data cataloging
- Maintain technical documentation and operational runbooks
- Monitor and optimize ETL processes and SQL performance
Perks/Benefits
Skills/Tech-stack
AWS | AWS Glue | Agile | Amazon Redshift | Apache Airflow | Apache Kafka | Apache Spark | Azure | Azure Data | Azure Data Factory | Azure DevOps | Azure Synapse | Azure Synapse Analytics | BigQuery | CI/CD | Cassandra | Data Factory | Data Governance | Data Lakes | Data Lineage | Data Modeling | Data Quality | Data Warehousing | Databricks | Dimensional Modeling | Docker | ELT | ETL | Git | GitHub Actions | Google Cloud | Java | Jenkins | Kubernetes | Microsoft SQL | Microsoft SQL Server | MongoDB | MySQL | Oracle | PostgreSQL | Python | SQL | SQL Server | Scala | Scrum | Snowflake | Snowflake Schema | Star Schema | Streaming Data | Synapse Analytics | Terraform
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Data Engineering | Bachelor of Science in Information Technology | Bachelor of Science in Mathematics | Bachelor of Science in Software Engineering
Roles
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