
Recruitment • HR Tech • Enterprise
Sequoia Connect is a company that specializes in IT advisory and talent services particularly focused on digital transformation. They provide headhunting services for technology specialists, IT consulting, and recruitment process outsourcing. With operations spread across multiple countries including the USA, Mexico, India, and regions in Latin America, they connect technologists with global companies. They aim to optimize processes, reduce operating costs, and maintain high standards of technological innovation. Sequoia Connect supports digital transformation for both multinational corporations and agile startups, serving over 700 clients across 50+ countries.
11 - 50 employees
🎯 Recruiter
👥 HR Tech
🏢 Enterprise
September 7
🗣️🇪🇸 Spanish Required

Recruitment • HR Tech • Enterprise
Sequoia Connect is a company that specializes in IT advisory and talent services particularly focused on digital transformation. They provide headhunting services for technology specialists, IT consulting, and recruitment process outsourcing. With operations spread across multiple countries including the USA, Mexico, India, and regions in Latin America, they connect technologists with global companies. They aim to optimize processes, reduce operating costs, and maintain high standards of technological innovation. Sequoia Connect supports digital transformation for both multinational corporations and agile startups, serving over 700 clients across 50+ countries.
11 - 50 employees
🎯 Recruiter
👥 HR Tech
🏢 Enterprise
• Design, develop, and maintain data pipelines using Databricks and Apache Spark • Integrate data from various sources into Databricks, ensuring quality and consistency • Optimize Spark jobs for performance and cost efficiency • Collaborate with data scientists, analysts, and stakeholders to understand requirements and deliver solutions • Create and maintain data models to support analytics and reporting • Monitor and troubleshoot data pipelines • Document processes, architectures, and workflows • Apply best practices in data engineering and ensure compliance with governance policies
• 6+ years of experience in Data Engineering with strong focus on Databricks and Apache Spark • Proficiency in Python, Scala, or Java • Experience with cloud platforms (AWS, Azure, or Google Cloud) • Strong SQL skills for querying and data manipulation • Familiarity with data warehousing concepts and tools • Version control experience (Git) • Strong communication skills for cross-functional collaboration • Desired: Experience with machine learning frameworks and libraries • Desired: Knowledge of data visualization tools • Desired: Familiarity with CI/CD practices for data pipelines • Languages: Advanced Oral English • Languages: Native Spanish
• Global career opportunities • Dynamic work environment • Exposure to high-impact projects • International network of expertise and innovation • Culture of innovation, collaboration, and continuous learning • Presence in 54 offices worldwide and 39 delivery centers across 28 countries • Opportunity to work for an award-winning employer
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