Consultant - Data Engineer
Tasks
- Adhere to service level agreements
- Ensure smooth operations of data platforms and solutions
- Ensure stability availability performance of client environments
- Identify technical improvements and implement them
- Own medium to high complexity technical tasks
- Recommend and execute process improvements
- Work with teams and clients on technical requirements
Perks/Benefits
- Flexible working options
- Paid volunteering days
- Parental leave and return to work support
- Retail discounts
- Wellbeing leave
Skills/Tech-stack
AWS Data | AWS Data Pipeline | AWS Glue | Agile | Amazon EMR | Amazon Redshift | Amazon Relational Database Service | Amazon Web Services | Azure | Azure Blob | Azure Blob Storage | Azure Cosmos | Azure Cosmos DB | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Synapse | Azure Synapse Analytics | Blob Storage | CI/CD | Continuous Delivery | Continuous integration | Cosmos DB | Data Factory | Data Ingestion | Data Lake Storage | Data pipeline | Databricks | DevOps | ELT | ETL | Google Cloud | NoSQL | Power BI | Python | Qlik | Relational Database Service | Reporting services | SQL | SQL Server | SQL Server Reporting | SQL Server Reporting Services | Server Reporting Services | Snowflake | Synapse Analytics | Tableau | Web Services
Education
N/A
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