Data Engineer + English

We are looking for a Data Engineer with experience in modern data environments, focused on the design, construction, and optimization of scalable pipelines. This role will be key to ensuring data quality, availability, and efficiency within the organization. Responsibilities: Design, build, and maintain efficient and scalable data pipelines. Orchestrate processes within Databricks (Jobs, Workflows). Ensure data quality, integrity, and availability. Optimize process performance and queries in distributed environments. Implement batch and streaming processing solutions. Collaborate with business and technology teams to define requirements. Document pipelines and processes in tools like Jira and Confluence. Requirements: Experience as a Data Engineer. Proficiency in: Databricks (Unity Catalog, Workflows, Jobs), PySpark / Apache Spark, Python and SQL. Experience in building data pipelines. Version control management (Git). C1 English level (advanced). Benefits: Paid in USD. Remote location in Mexico. Flexible freelance contract modality. Exposure to Agile projects. Work with corporate-level tools and platforms. 4-month contract with a possibility of renewal. Highlights: Build and optimize data pipelines in Databricks, working with PySpark, SQL, and modern data architectures. Originally posted on Himalayas