Data Engineer
Tasks
- Architect data lakes using Azure Data Lake Storage
- Build data pipelines using Azure Data Factory
- Deliver data engineering solutions
- Design end-to-end data pipelines
- Develop analytics solutions using Azure Synapse Analytics
- Develop data processing frameworks using Azure Databricks
- Ensure high availability of data systems
- Gather requirements and translate to technical solutions
- Implement ETL and ELT workflows
- Implement data governance, security, and compliance
- Mentor junior team members
- Optimize data performance scalability and cost
- Troubleshoot production data issues
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Hive | Apache Kafka | Apache Spark | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Databricks | Azure DevOps | Azure Monitor | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Factory | Data Lake Storage Gen2 | Data Modeling | Data Processing | Distributed data | Distributed data processing | ELT | ETL | Encryption | HDInsight | Log Analytics | PySpark | Python | RBAC | SQL | Scala | Snowflake Schema | Spark SQL | Star Schema | Synapse Analytics
Education
N/A
Roles
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