Data Engineering Analyst

metyisag; Barcelona; Presencial; EUR 45.000 - 60.000; Jornada completa

Descripción de la vacante

metyisag is expanding and seeking a Data Engineering Analyst to join their Data and Analytics team in Barcelona. The ideal candidate will have 1-2 years of experience and strong skills in SQL and Python.

Your responsibilities include developing data pipelines, troubleshooting performance issues, and collaborating closely with data scientists. This role offers the chance to work in a diverse team and contribute to impactful data-driven solutions.

Formación

• 1-2 years of experience in a data engineering role.
• Proficiency in SQL and Python.
• Familiarity with big data technologies.

Responsabilidades

• Diagnose problems and develop solutions.
• Collaborate with teams to understand end-user requirements.
• Develop and maintain data pipelines.
• Monitor and troubleshoot data pipeline performance.
• Manage and store large datasets using Azure Data Lake.
• Implement data quality and governance best practices.
• Create and maintain documentation on data processes.

Conocimientos

SQL

Python

Data pipeline development

Data cleaning and integration

Data governance

Problem-solving

Communication in English

Communication in Spanish

Educación

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

Herramientas

Azure Data Factory

Databricks

Azure Data Lake Storage

Descripción del empleo

Metyis is growing! We are looking for a Data Engineering Analyst with +1 year of experience to join our international Data and Analytics team, based in Barcelona.

What we offer:

• Interact with senior stakeholders at our clients on regular basis to drive their business towards impactful change
• Become the go-to person for end-to-end data handling, management, and analytics processes
• Working with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation, and visualization
• Become part of a fast-growing international and diverse team

What you will do:

• Diagnose problems, disaggregate issues, develop hypotheses and execute relevant solutions
• Collaborate and work closely with teams to better understand the end-user requirements
• Develop, and maintain data pipelines using Azure Data Factory and other technologies, ensuring efficient and cost-aware processes
• Monitor and troubleshoot data pipeline performance, identifying and resolving issues promptly
• Work with Azure Data Lake Storage to manage and store large datasets, ensuring data is easily accessible and well-organized
• Implement data quality and data governance best practices to ensure the accuracy, consistency, and security of data
• Work closely with data scientists to understand their data requirements and provide the necessary support for their analytics and machine learning tasks
• Stay updated with the latest trends and advancements in data engineering, cloud technologies, and big data tools
• Create and maintain documentation related to data pipelines, data storage, and data processing workflows

What you'll bring:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• Minimum of 1-2 years of experience in a data engineering role
• Proficiency in SQL and Python
• Experience with Databricks or other pay-as-you-go DWH technologies
• Familiarity with big data technologies and distributed processing tools
• Understanding of data integration and ELT processes
• Good problem-solving skills and the ability to work collaboratively in a team environment
• Excellent written and verbal communication skills in English and Spanish