Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.
Roles remotos de Spark para candidatos en Serbia.
Revisa roles remotos de Spark que aceptan candidatos en Serbia.
Roles remotos de Spark en Serbia con elegibilidad clara
Esta página reúne roles remotos abiertos para candidatos en Serbia. Así evitas perder tiempo con posiciones que parecen remotas, pero restringen contratación por país, zona horaria, nómina o política interna.
Usa Spark como filtro de stack sin cambiar los nombres originales de los cargos, comparando seniority, países aceptados y preparación para aplicar.
- Confirma que tu país aparezca como ubicación aceptada antes de aplicar.
- Compara stack, seniority y flujo de aplicación.
- Crea alertas para seguir nuevos roles abiertos en Serbia.
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Roles filtrados
Data Engineer
Teravision Technologies · Data Science
Fully remote position.
Principal Data Engineer- PerfectScale by DoiT
DoiT International
System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.
Data Engineer
Nebius · Data Science
Design, develop, and maintain scalable data pipelines.
Principal Data Engineer- PerfectScale by DoiT
DoiT International
System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.
Data Engineer
Remedy Product Studio · Data Science
Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.
Sr. Data Engineer
NeueHealth
Write traditional code and server-less functions using the language best suited for the task, which is primarily Scala. May include development with C# and SQL.
Spontaneous Application- Data Engineer
Amplemarket · Data Science
Design and implement data pipelines for the collection, storage, and transformation of data from a variety of sources
Senior Data Engineer
GROPYUS · Data Science
Design, build, and maintain core data platform components, including ingestion frameworks, transformation pipelines, and data storage layers
MLOps Field Engineer
Canonical · Field Engineering
Work across the entire Linux stack, from kernel, networking, storage, to applications,
Senior Solutions Architect- Lakewatch
Databricks · Field Engineering - Other
5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,
Senior Solutions Architect- Lakewatch
Databricks · Field Engineering - Other
5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,
Senior Solutions Architect- Lakewatch
Databricks · Field Engineering - Other
5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,
Senior Solutions Architect- Lakewatch
Databricks · Field Engineering - Other
5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,
Senior Solutions Architect- Lakewatch
Databricks · Field Engineering - Other
5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,
ML Engineer
Orcrist Technologies · Data Science
Build ML prototype vertical slices that connect ingest/processing to inference and visible product outcomes (search, insights, UX flows).
Member of Technical Staff (Software Engineer, Data Flywheel)
Perplexity · AI Research & Systems
Build the systems and pipelines that enable Search, Product, and other teams to independently access and utilize reliable eval verdicts without bottlenecks
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