Data Engineer

**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.