Data Engineer

Neptune Software; Viseu; Presencial; EUR 52 000 - 78 000; Tempo integral

Resumo da oferta

Neptune Software procura um Engenheiro de Dados talentoso para integrar a equipa de dados, com foco em manipulação de dados, automação e construção de pipelines. O candidato ideal possui conhecimento sólido em Python, Spark/PySpark e SQL, bem como experiência com orquestração de pipelines e plataformas em nuvem, alinhadas a ambientes Ágeis.

A posição envolve trabalhar com dados em larga escala, utilizando tecnologias de data warehousing e serviços de nuvem para suportar soluções analíticas

Qualificações

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field.
• Proven experience with Python / Spark / PySpark for data manipulation, automation, and scripting.
• Solid understanding of SQL for querying and managing large datasets.
• Experience with data pipeline orchestration tools like Airflow, Luigi, or similar.
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and big data services (EMR, Databricks, etc.).
• Knowledge of data warehousing concepts and experience with platforms like Snowflake, Redshift, or BigQuery.
• Strong problem-solving skills and the ability to work in an Agile environment.

Conhecimentos

Python

Spark

PySpark

SQL

Airflow

Luigi

AWS

Azure

Google Cloud

EMR

Databricks

Snowflake

Redshift

BigQuery

Agile

Formação académica

Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field

Descrição da oferta de emprego

Descrição do cargo

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.- Proven experience with Python / Spark / PySpark for data manipulation, automation, and scripting.Solid understanding of SQL for querying and managing large datasets.- Experience with data pipeline orchestration tools like Airflow, Luigi, or similar.- Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and big data services (EMR, Databricks, etc.).- Knowledge of data warehousing concepts and experience with platforms like Snowflake, Redshift, or BigQuery.- Strong problem-solving skills and the ability to work in an Agile environment.

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