Data Engineer

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Take your career to the next level with Amaris Consulting as a Data Engineer in Valencia .

Become part of an international team, thrive in a global group with €800M turnover and 1,000+ clients worldwide, and an agile environment by planning the kickoff and follow up on projects.

The ideal candidate has experience in SQL , DBT , and Jinja and is based in, or willing to relocate to, Valencia . Join Amaris Consulting, where you can develop your potential and make a difference within the company.

• 5 years of experience as a data engineer
• Proficiency in SQL, DBT (Data Build Tool), and JINJA.
• Familiarity with data quality control procedures.
• Experience with PowerBI, including data modeling (data marts) and building dashboards and graphical controls.
• Knowledge of modeling strategies and managing the evolution of data schemas, such as Entity Relationship, Data Vault, Star, and Snowflake in a Data Lake context.
• Native or fluent Spanish.
• Knowledge in data collection from various sources (ETLs, APIs) and the necessary data transformation pipelines for business rule development.
• Knowledge of Python and Data Workflow Orchestration (Apache Airflow, AWS Step Functions).
• Familiarity with AGILE methodologies.
• Design logical and physical data models within a scalable cloud architecture (Data Lake).
• Develop transformation scripts to convert raw data into actionable information, ensuring data quality control.
• Prepare technical documentation and user guides related to your developments.
• Join a multidisciplinary and international AGILE development team as a proactive developer.
• Participate in the maintenance of the solution once it is in production.

Join our dynamic team of talented people and discover a world full of growth and opportunity. Here's what we offer :

Amaris Consulting prides itself on being an equal opportunity employer. We are committed to promoting diversity within the workforce and creating an inclusive work environment. To this end, we welcome applications from all qualified candidates, regardless of gender, sexual orientation, race, ethnicity, creed, age, marital status, disability or other characteristics.

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