Sr. Data Engineer

The Kynetec Group; Murcia; Presencial; EUR 50.000 - 80.000; Jornada completa

Descripción de la vacante

A leading company in data analytics is seeking a Senior Data Engineer to optimize and maintain their data pipeline architecture. The role involves building robust data pipelines and ensuring data quality across cross-functional teams using tools like Databricks and cloud platforms such as AWS. Successful candidates will have a background in data engineering with experience in SQL, Python, and data pipeline management, along with strong collaboration skills.

Formación

• 5+ years of experience in data engineering, ETL processes, and database systems.
• Strong experience with relational and NoSQL databases.
• Working experience in cloud platforms like AWS and Azure.

Responsabilidades

• Create and maintain large-scale data processing systems and infrastructure.
• Collaborate with teams to provide required data in an accessible and timely manner.
• Mentor junior data engineers and implement best practices.

Conocimientos

SQL

Python

PySpark

Data Quality

Machine Learning

Communication

Collaboration

Educación

Bachelor's degree in Computer Science

Master's degree in related field

Herramientas

Databricks

Azure Data Factory

Kedro framework

AWS

Azure

Descripción del empleo

• Create and maintain large-scale data processing systems and infrastructure.
• Build robust, performant, and scalable data pipelines to ingest, transform, and store complex data from multiple sources.
• Collaborate with data science and software engineering team members to provide required data in an accessible, timely, and accurate manner.
• Optimize and refine processes, algorithms, and systems to enhance data quality and reliability.
• Ensure data privacy and security compliance.
• Implement monitoring, logging, and alert systems to ensure data pipeline health and performance.
• Collaborate with infrastructure and IT teams to ensure optimal data storage and retrieval mechanisms.
• Drive the optimization, testing, and tooling to improve data quality.
• Mentor junior data engineers, imparting knowledge and promoting best practices.
• Stay updated with emerging technologies and introduce them as needed to improve the data engineering ecosystem.

Requirements :

• Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree is a plus.
• 5+ years of experience in data engineering, ETL processes, and database systems.
• Proficient in SQL, Python, PySpark, and experience with big data platforms.
• Experience creating data pipelines and working with workflow management tools.
• Strong experience with relational and NoSQL databases.
• Working experience in cloud platforms like AWS and Azure.
• Excellent communication and collaboration skills.
• Experience with Databricks platform, Azure Data Factory, Kedro framework.
• Experience with Machine Learning processes.
• Relevant Industry Certification.

Role Description

The Senior Data Engineer will play a pivotal role in building, optimizing, and maintaining our data pipeline architecture, ensuring data quality and accessibility for cross-functional teams. This role will be a key member of our Advanced Analytics team and will focus on building and supporting our data pipelines in a Databricks environment.

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