Senior Software Engineer - Cdp

buscojobs España; Madrid; Presencial; EUR 40.000 - 70.000; Jornada completa

Descripción de la vacante

A leading company in the tech sector is looking for a Senior Software Engineer to enhance their Customer Data Platform. This role involves managing data integrations, developing ETL processes, and ensuring data quality while collaborating with various teams to drive impactful marketing outcomes. The ideal candidate will have a strong background in data engineering and a passion for building reliable data infrastructures.

Formación

• Skilled in data integration and ETL processes.
• Experience with data orchestration pipelines.
• Ability to collaborate with cross-functional teams.

Responsabilidades

• Design and manage integrations with third-party systems.
• Develop and maintain ETL processes for data extraction.
• Ensure data quality and governance.

Conocimientos

Data Integration

ETL Development

Data Quality

Collaboration

Performance Optimization

Descripción del empleo

We are seeking a skilled and experienced Senior Software Engineer to join our team, focusing on the Customer Data Platform (CDP). This role is crucial in building and maintaining the data infrastructure that powers our personalized customer experiences. As a Data Engineer, you will be responsible for managing integrations with third-party systems, developing and maintaining ETL processes, and ensuring the reliability and performance of our data orchestration pipelines. You will collaborate closely with cross-functional teams, including product owners, data analysts, and other engineers, to ensure data quality, integrity, and accessibility. Your work will enable data-driven decision-making and drive impactful marketing outcomes across Mars Petcare.

Key Responsibilities:

1. 3rd Party System Integrations: Design, develop, and manage integrations between the CDP and various third-party systems, ensuring seamless data flow and compatibility.
2. ETL Development and Management: Design, build, and maintain efficient and scalable ETL processes to extract, transform, and load data from diverse sources into the CDP.
3. Data Orchestration Pipeline Management: Develop, manage, and optimize data orchestration pipelines using tools like Digdag, ensuring reliable and timely data delivery.
4. Data Pipeline Validation and Testing: Develop and execute comprehensive test plans to validate the accuracy and performance of data orchestration pipelines.
5. CDP Instance Maintenance: Perform general maintenance and troubleshooting of the CDP instance, ensuring optimal performance and stability.
6. Data Quality and Governance: Implement data quality checks, validation processes, and data governance policies to ensure data accuracy, consistency, and compliance.
7. Performance Optimization: Optimize data pipelines and queries for performance and efficiency, ensuring timely data delivery for business needs.
8. Collaboration and Communication: Collaborate with product owners, data analysts, and other engineers to understand data requirements and deliver effective solutions. Communicate tech