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About
We are looking for a Data Engineer with solid experience in the design, development, and optimization of scalable data solutions, oriented to the analysis and processing of large volumes of information within the Microsoft Azure ecosystem. Essential Requirements:
Advanced English C1. +5 years as Data engineer Solid and verifiable experience in Azure Databricks (indispensable). Domination of Apache Spark (PySpark) for processing large volumes of data. Experience working with Azure Data Lake Storage Gen2 (ADLS). Advanced knowledge of SQL for data analysis and transformation. Experience in the construction, orchestration, and maintenance of data pipelines. Knowledge of data modeling and Data Warehouse concepts. Use of Git for version control and collaborative work. Main Responsibilities
Design and develop scalable and efficient data pipelines. Implement data transformation and processing processes in Azure Databricks. Optimize queries and data flows to improve the performance and quality of information. Participate in the design of analytical models and data warehouse structures. Collaborate with multidisciplinary teams on analytics and data projects. Ensure good development practices, versioning, and documentation. We Offer
Salary depending on your years of experience. Nominal and bi-weekly payment. Superior legal benefits. Indefinite contract. Permanent remote work. If you meet the profile, apply with your updated CV.
Languages
- English
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