Data Engineer
hace 2 semanas
Avantio is a leading global provider of solutions, services, and technological tools for holiday rentals with a stable projection. We are a dynamic and multicultural environment, with more than 24 nationalities to get to know.
Job DescriptionWe are seeking a highly skilled Data Engineer to join our newly formed Data Science and Analytics team. As a Data Engineer, you will play a critical role in driving growth for our clients by innovating and optimizing technology through the use of machine learning and AI.
Key Responsibilities:- Design, build, and maintain robust data pipelines, integrating data from various sources, and ensuring data quality and consistency.
- Develop and implement ETL/ELT processes to efficiently move and transform data from various sources into the data warehouse.
- Work with relational database management systems (RDBMS) such as SQL Server, ensuring robust data management and query optimization.
- Develop and maintain databases, including RDBMS and NoSQL databases such as MongoDB.
- Implement data integration, data cleansing, and data transformation techniques to ensure data quality and consistency across the data warehouse.
- Develop and maintain business intelligence (BI) tools, including Microsoft Power BI, Tableau, QlikView, and Looker, to create insightful reports, dashboards, and interactive visualizations.
- Work with big data technologies such as Hadoop, Spark, and Hive to manage and process large datasets efficiently.
- Develop and maintain cloud-based data warehousing solutions using cloud platforms like AWS, Azure, and Google Cloud Platform (GCP).
- 3-5 years of experience in data warehousing.
- Expertise in implementing ETL/ELT processes.
- Fluency in English and Spanish is mandatory.
- Advanced skills in SQL and experience with RDBMS like SQL Server.
- Experience with scripting languages like Python.
- Proficiency in BI tools like Power BI, Tableau, etc.
- Experience with cloud platforms (AWS, Azure, GCP).
- Stable full-time contract.
- Competitive salary according to experience.
- Training provided by the company.
- Flexible working hours.
- Hybrid working system.
- Possibility to build a long-term career.
- Flexible remuneration plan.
- Work-life balance.
- Carsharing.
- Dynamic and multicultural environment.
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