Data Engineer

Axiom Software Solutions Limited; Barcelona; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading software solutions provider in Barcelona is seeking an experienced Data Engineer proficient in PySpark and AWS services such as Athena and EMR. The ideal candidate will design and optimize data processing systems while ensuring data integrity and performance. Responsibilities include developing data pipelines and collaborating with team members to meet business needs. This is a full-time position, offering competitive salary and benefits.

Formación

• 5+ years of experience as a Data Engineer or in a similar role.
• Proficient in PySpark for data processing and transformation.
• Experience with AWS services, specifically Athena and EMR.

Responsabilidades

• Design, develop, and maintain scalable data pipelines using PySpark.
• Utilize AWS services to manage and optimize data workflows.
• Implement data quality and governance best practices.

Conocimientos

PySpark

AWS Athena

AWS EMR

SQL

Problem-Solving

Python

Communication

Educación

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

Herramientas

Apache Airflow

AWS S3

AWS Lambda

AWS Redshift

Descripción del empleo

Overview

Job Title: Data Engineer

Job Description: Seeking a skilled Data Engineer with a robust background in PySpark and extensive experience with AWS services, including Athena and EMR. The ideal candidate will be responsible for designing, developing, and optimizing large-scale data processing systems, ensuring efficient and reliable data flow and transformation.

Responsibilities

• Data Pipeline Development: Design, develop, and maintain scalable data pipelines using PySpark to process and transform large datasets.
• AWS Integration: Utilize AWS services, including Athena and EMR, to manage and optimize data workflows and storage solutions.
• Data Management: Implement data quality, data governance, and data security best practices to ensure the integrity and confidentiality of data.
• Performance Optimization: Optimize and troubleshoot data processing workflows for performance, reliability, and scalability.
• Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
• Documentation: Create and maintain comprehensive documentation of data pipelines, ETL processes, and data architecture.

Required Skills and Qualifications

• Education: Bachelor\'s or Master’s degree in Computer Science, Engineering, or a related field.
• Experience: 5+ years of experience as a Data Engineer or in a similar role, with a strong emphasis on PySpark.
• Technical Expertise: Proficient in PySpark for data processing and transformation.
• Technical Expertise: Extensive experience with AWS services, specifically Athena and EMR.
• Technical Expertise: Strong knowledge of SQL and database technologies.
• Technical Expertise: Experience with Apache Airflow is a plus
• Technical Expertise: Familiarity with other AWS services such as S3, Lambda, and Redshift.
• Programming: Proficiency in Python; experience with other programming languages is a plus.
• Problem-Solving: Excellent analytical and problem-solving skills with attention to detail.
• Communication: Strong verbal and written communication skills to effectively collaborate with team members and stakeholders.
• Agility: Ability to work in a fast-paced, dynamic environment and adapt to changing priorities.

Preferred Qualifications

• Experience with data warehousing solutions and BI tools.
• Knowledge of other big data technologies such as Hadoop, Hive, and Kafka.
• Understanding of data modeling, ETL processes, and data warehousing concepts.
• Experience with DevOps practices and tools for CI/CD.