Sr. Data Engineer

The Kynetec Group; Cádiz; Presencial; EUR 40.000 - 65.000; Jornada completa

Descripción de la vacante

A leading company is seeking a Senior Data Engineer to enhance and maintain its data architecture. The role will focus on building scalable data pipelines and collaborating with analytics teams to ensure high data quality and accessibility. Candidates should have extensive experience in data engineering, with a strong grasp of SQL, Python, and cloud technologies like AWS and Azure. This position offers a chance to be part of a dynamic analytics team and drive data innovation.

Formación

• 5+ years experience in data engineering and related fields.
• Proficiency in SQL, Python, PySpark.
• Experience with AWS, Azure, and Databricks.

Responsabilidades

• Create and maintain large-scale data processing systems.
• Build robust data pipelines for ingesting and transforming data.
• Collaborate with cross-functional teams ensuring data accessibility.

Conocimientos

SQL

Python

Data Engineering

ETL Processes

Cloud Platforms

Educación

Bachelor's degree in Computer Science

Master's degree

Herramientas

Databricks

Azure Data Factory

Kedro

Big Data Platforms

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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