Sr. Data Engineer

The Kynetec Group; Cartagena; Presencial; EUR 45.000 - 70.000; Jornada completa

Descripción de la vacante

A leading company is seeking a Senior Data Engineer to build and maintain data pipeline architecture. The role emphasizes data quality and accessibility, requiring collaboration with cross-functional teams, advanced technical skills, and a strong foundation in data engineering practices.

Formación

• 5+ years of experience in data engineering and ETL processes.
• Strong experience with relational and NoSQL databases.
• Relevant Industry Certification preferred.

Responsabilidades

• Create and maintain data processing systems and infrastructure.
• Build and optimize data pipelines for data ingestion and transformation.
• Collaborate with data science and engineering teams for data accessibility.

Conocimientos

SQL

Python

PySpark

Data Quality

Data Privacy

Collaboration

Educación

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

Master's degree

Herramientas

AWS

Azure

Databricks

Azure Data Factory

Kedro

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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