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Data Engineer
hace 2 semanas
**Main Responsabilties**:
- Work with stakeholders defining data requirements and identifying data for integration.
- Work in an Agile environment, actively participating in sprint rituals (Standup, Retro, Refinement, Planning, Demo) as well as team pair-programming activities.
- Create documentation to ensure smooth transition of data engineering work to production.
**What Skills You Need**:
- 2+ years of experience in software design and development using both server-side (Python/Java) and client side (React, Angular, Java Script, jQuery, HTML5) scripting languages
- 2+ years of experience in database design and development in both relational database (MS-SQL Server, Oracle) and NoSQL database (MongoDB, Cassandra, Solr, Elasticsearch, DynamoDB, DB2)
- Ability to work independently and with teams to solve problems, gather requirements and manage conflicting priorities.
- Ability to present and teach technical information to audiences with limited technical backgrounds.
**What Makes You Stand Out**:
- Experience in data processing in the Apache ecosystem (Spark, Avro, Hadoop, Kafka) with a preference toward systems in the AWS cloud environment.
- Experience working with the EDL and dataset management in Databricks
- Experience with traditional and/or modern ETL tools
- Experience developing and implementing data pipelines
- Experience working with CI/CD orchestration and tools
- Experience with file versioning and repository management in Git/GitHub
- Formal education or certification in Systems Engineering principles
**Education**:
- Bachelor's or Master’s degree in Computer Science, Computer Engineering or equivalent experience in a related career field.
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