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Senior Data Engineer
hace 2 semanas
**Responsibilities**:
- Work closely with the Data Analyst/Data Scientist in order to understand evolving needs and define the data processing flow or interactive reports.
- Discuss with the stakeholders from the other teams in order to have a better understanding about how data flows are used within the existing environment.
- Propose solutions for the cloud-based architecture and deployment flow.
- Design and build processes, data transformation and metadata that will meet business requirements and platform needs.
- Design and propose solutions for the Relational and Dimensional Model based on platform capabilities.
- Proficient in develop, maintain, test and evaluate big data solutions.
- Focus on production status and data quality of the data environment.
- Pioneer initiatives around data quality, integrity and security.
- Strong analytic skills related to working with structured and unstructured data sets.
**Qualifications and Experience**:
- +5 years of experience in Data Engineering.
- Proficiency in Python/Spark/Azure(Data Factory databricks)/SQL.
- Some experience leading IT projects and stakeholders management.
- Experience implementing ETL/ELT process and Data pipelines.
- Experience with Snowflake.
- Strong SQL scripting experience.
- Background and experience with cloud data technologies and tools.
- Familiar with data tools and technologies like:
- Spark, Hadoop, Apache beam, Dataproc or similar.
- BigQuery, Redshift, or other Data warehouse tools.
- Real-time pipelines with Kinesis or Kafka.
- Batch processing.
- Serverless processing.
- English level from B2.
