
11 - 50 employees
Founded 2017
💼 Consulting
📣 Marketing
🤖 Artificial Intelligence
Consulting • Marketing • Artificial Intelligence
Slash is a people-first, innovation-driven studio that specializes in generative AI (GenAI) solutions, web and mobile application development, and cloud services. They aim to enhance business efficiency, innovation, and growth while partnering with clients to create custom digital experiences and prototypes. With expertise in tech architecture, staff augmentation, and senior recruitment, Slash empowers organizations to navigate digital transformations effectively and achieve real success through meaningful collaborations.
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Where this job comes from
Posted on Slash's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

11 - 50 employees
Founded 2017
💼 Consulting
📣 Marketing
🤖 Artificial Intelligence
Consulting • Marketing • Artificial Intelligence
Slash is a people-first, innovation-driven studio that specializes in generative AI (GenAI) solutions, web and mobile application development, and cloud services. They aim to enhance business efficiency, innovation, and growth while partnering with clients to create custom digital experiences and prototypes. With expertise in tech architecture, staff augmentation, and senior recruitment, Slash empowers organizations to navigate digital transformations effectively and achieve real success through meaningful collaborations.
• Develop, maintain, and optimize robust ETL/ELT pipelines using Talend to ingest and transform diverse structured and semi-structured datasets • Implement high-performance data processing pipelines and transformation jobs using Apache Spark • Partner with Lead Solution Architects to implement data governance, schema management, and automated data quality checks • Diagnose and resolve pipeline performance issues, memory leaks, and job failures across distributed big data environments • Write performant SQL and assist in integrating data into downstream query engines and lakehouse storage layers • Participate in daily standups, sprint planning, and code reviews • Maintain clear technical documentation for all delivered pipelines
• Minimum 5+ years of hands-on data engineering experience building enterprise data pipelines • Strong, demonstrable proficiency in pipeline development and deployment using Talend • Solid hands-on experience developing and optimizing data processing jobs with Apache Spark (PySpark or Scala) • Advanced SQL proficiency, including performance optimization, indexing strategies, and query tuning on large-scale datasets • Practical experience with version control (Git), CI/CD pipelines, and Agile development practices • Conversational English proficiency capable of clear technical collaboration, standups, and documentation • Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or equivalent practical experience
• Remote position • Asynchronous, cross-functional remote setting • Daily Agile cadence • Participation in code reviews and professional collaboration
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