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Senior Data Engineer
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**Senior Data Engineer / Snowflake & DBT**:
**About the Role**
The Senior Data Engineer will be responsible for designing, developing, and maintaining data pipelines and solutions to enable our client to harness the power of the data for further analytics. The engineer will work with modern data technologies, with a strong emphasis on Snowflake and DBT (Data Build Tool) to automate, build, test and maintain the data infrastructure. Additionally, it is the expectation that people participate actively in all aspects of the data lifecycle and provides recommendations aligning to best practices within the process.
Key Responsibilities:
- Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
- Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
- Works closely with a team of front-end and backend engineers, product managers, and analysts.
- Designs data integrations and data quality framework.
- Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.
**Qualifications**:
- BS in Computer Science, Engineering or related technical field or equivalent practical experience.
- Passionate data engineer with 6-10 years of experience, with a focus on designing and implementing data pipelines
- **Strong expertise in Snowflake**, including
- Proficiency in **DBT (Data Build Tool)** for data transformation and management
- Solid SQL skills and understanding of database systems
- Experience with data integration, data processing, and data quality
- Experience with object storage, data lakes, and lake-houses.
- Experience with version control tools such as Git.
- Team oriented, interpersonal, highly motivated, passionate and creative team-player with ability to develop and maintain collaborative relationships with all levels within and external to the organization.
- Advanced English written and spoken.
- Familiarity with Azure Data Services, including Azure Data Factory, Azure Storage, Azure Synapse is a plus.
- Familiarity with Databricks is a plus.
- Knowledge of data processing technologies like Apache Spark and Kafka is a plus
- Cloud platform certifications are a plus.
Tipo de puesto: Tiempo completo
Sueldo: $80,000.00 - $120,000.00 al mes
Beneficios:
- Seguro de gastos médicos
- Trabajo desde casa
Tipo de jornada:
- Turno de 8 horas
Idioma:
- Inglés (Obligatorio)
Lugar de trabajo: Empleo remoto