Junior Data Engineer

Description

Summary: Noesis is seeking a Data Engineer to develop and maintain data processing workflows, design and optimize data models, and contribute to pipeline automation. Highlights: 1. Develop and maintain data processing workflows using SQL, Python, PySpark 2. Design and optimize data models within Data Warehouse and Data Lake 3. Work within distributed data ecosystems like Hadoop, Hive, Spark, or Databricks **Description:** ---------------- Noesis is looking for candidates with the following profile: **Main Tasks and Responsibilities:** * Develop and maintain data processing workflows using SQL, Python, and PySpark; * Design, implement, and optimise data models within Data Warehouse and Data Lake architectures; * Work within distributed data ecosystems, supporting platforms such as Hadoop, Hive, Spark, or Databricks: * Contribute to the automation of data pipelines and engineering processes: * Participate in code reviews and ensure alignment with established development standards. **Requirements:** * Degree in Computer Science or similar; * Minimum of 1 year as a Data Engineer; * Foundational knowledge of SQL and Python or similar data processing technologies; * Basic understanding of data modelling concepts and data storage architectures, including Data Warehouse and Data Lake; * Familiarity with at least one cloud platform, such as Azure, GCP, or AWS will be valued; * Knowledge in Pyspark is a plus: * Strong analytical skills, attention to detail; If you meet these conditions and would like to join an innovative organization that continuously invests in training its talents, send us your application. **Join us. Let's innovate together!** All our recruitment and selection processes are based on equal opportunities, valuing the competence and potential of each person and ensuring that no candidate is discriminated on the grounds of gender, ethnicity, sexual orientation, age, religion or physical condition.