Arquitecto Tecnico jobs in Spain
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Amazon Jobs
Senior Data Architect
Job summary
A data engineering firm in Madrid is seeking a Senior Data Engineer with at least 5 years of experience in data engineering, including expertise in Java, SQL, Flink, and Spark. The role involves leading data model design, optimizing database operations, and ensuring data quality. Join a collaborative environment with opportunities for professional growth.
Benefits
Qualifications
- Minimum 5 years of hands-on experience in data engineering with Java programming language and SQL.
- Proven expertise in Flink and Spark (minimum 5 years).
- Strong experience with ETL/ELT/orchestration tools (e.g., Airflow).
Responsibilities
- Collaborate with stakeholders to identify and analyze data needs.
- Lead the design and implementation of data models and database structures.
- Troubleshoot performance issues and optimize database operations.
Skills
Job Overview
We are seeking a seasoned professional to assume the role of Senior Data Engineer.
The ideal candidate will possess a deep understanding of data engineering principles and be well-versed in designing and implementing data models and database structures that meet business requirements.
- Collaborate with stakeholders to identify and analyze data needs
- Lead the design and implementation of data models and database structures
- Troubleshoot performance issues and optimize database operations
- Develop and implement ETL processes to extract, transform, and load data into the data warehouse
- Maintain data integrity and quality through robust assurance measures
- Provide guidance and mentorship to team members
- Contribute to the development of a data-driven strategy aligned with business objectives
- Minimum 5 years of hands-on experience in data engineering with Java programming language and SQL
- Proven expertise in Flink, Spark (minimum 5 years)
- Strong experience with ETL / ELT / orchestration tools (e.g., Airflow)
- Proficient in code versioning (git) and building CI / CD for data projects
- Experience with requirement gathering and documentation
- Opportunity to work on complex data engineering projects
- Collaborative and dynamic work environment
- Professional growth and development opportunities
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.
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