Software Data Specialist

beBeeData; Madrid; Presencial; EUR 55.000 - 75.000; Jornada completa

Descripción de la vacante

A leading company is seeking a skilled professional to lead data infrastructure development, ensuring seamless integration and optimal performance of data orchestration pipelines. The successful candidate will develop efficient ETL processes, implement data quality checks, and collaborate with cross-functional teams to deliver personalized customer experiences.

Formación

• Experience with Customer Data Platforms (CDP).
• Expertise in data pipeline optimization and troubleshooting.
• Strong collaboration skills with cross-functional teams.

Responsabilidades

• Design and manage integrations between the CDP and third-party systems.
• Develop and optimize ETL processes for data extraction and transformation.
• Implement data quality checks and ensure compliance with data governance policies.

Conocimientos

Data Integration

ETL Processes

Data Orchestration

Data Quality

Data Governance

Descripción del empleo

A skilled professional is required to lead the development and maintenance of data infrastructure that powers personalized customer experiences. The successful candidate will oversee integrations with third-party systems, develop efficient ETL processes, and ensure the reliability and performance of data orchestration pipelines.

Key Responsibilities :

• Design, develop, and manage integrations between the Customer Data Platform (CDP) and various third-party systems.
• Develop, build, and maintain efficient and scalable ETL processes to extract, transform, and load data from diverse sources into the CDP.
• Develop, manage, and optimize data orchestration pipelines using tools like Digdag, ensuring reliable and timely data delivery.
• Perform general maintenance and troubleshooting of the CDP instance, ensuring optimal performance and stability.
• Implement data quality checks, validation processes, and data governance policies to ensure data accuracy, consistency, and compliance.
• Optimize data pipelines and queries for performance and efficiency, ensuring timely data delivery for business needs.
• Collaborate with cross-functional teams, including product owners, data analysts, and other engineers, to ensure data quality, integrity, and accessibility.
• Document technical solutions as needed.