BorderlessMind
51 - 200 employees
🎯 Recruiter
🏢 Enterprise
☁️ SaaS
Recruitment • Enterprise • SaaS
BorderlessMind is a trusted remote staff augmentation partner that connects ambitious startups and enterprises with high-quality, global digital talent. They specialize in identifying and attracting talented professionals across various technical and non-technical skills, allowing clients to build remote teams that are culturally fit and mission-focused. Through their strategic staff augmentation solutions, BorderlessMind helps clients overcome skill gaps, reduce hiring costs, and enhance project execution. The company provides services such as configuring teams, advising on technical requirements, and facilitating seamless onboarding processes to ensure clients meet their business objectives efficiently and effectively.
Databricks Engineer – Architect
Job not on LinkedIn
🕒 May 1
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BorderlessMind
51 - 200 employees
🎯 Recruiter
🏢 Enterprise
☁️ SaaS
Recruitment • Enterprise • SaaS
BorderlessMind is a trusted remote staff augmentation partner that connects ambitious startups and enterprises with high-quality, global digital talent. They specialize in identifying and attracting talented professionals across various technical and non-technical skills, allowing clients to build remote teams that are culturally fit and mission-focused. Through their strategic staff augmentation solutions, BorderlessMind helps clients overcome skill gaps, reduce hiring costs, and enhance project execution. The company provides services such as configuring teams, advising on technical requirements, and facilitating seamless onboarding processes to ensure clients meet their business objectives efficiently and effectively.
📋 Description
• Design, build, and stabilize Databricks-based data pipelines • Perform pipeline optimization and production hardening • Develop and support reporting and data visualization solutions • Implement best practices for performance, scalability, and cost optimization • Work on end-to-end data workflows (ingestion → transformation → reporting) • Identify and resolve performance bottlenecks and system inefficiencies • Bring structure and consistency to an evolving Databricks environment • Collaborate with cross-functional teams to improve platform reliability and ROI
🎯 Requirements
• Strong hands-on experience with Databricks (must-have) • Experience in data pipeline development (ETL/ELT) • Solid understanding of data engineering and data architecture principles • Experience working with large-scale data processing systems • Exposure to reporting/BI tools (Power BI, Tableau, or similar) • Ability to work in fast-paced, evolving environments with minimal handholding.
🏖️ Benefits
• n/a
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