Senior Software Developer - Etl Jp241
P@thlion Staffing Careers
The
Senior Software Developer - ETL
will design, build, and maintain scalable data pipelines, integrations, and reusable data services that enable enterprise AI, analytics, and data initiatives.
The role will help improve access to trusted data across enterprise systems, operationalize data architecture and integration patterns, and reduce the time and effort required to onboard data for new AI and analytics use cases.
Key Responsibilities
Design, develop, test, and maintain
ETL/ELT pipelines and data integration solutions
across enterprise data sources.
Build
reusable data pipelines, services, and integration components
that can support multiple AI and analytics use cases.
Ingest, transform, and prepare structured and unstructured data for analytics, AI, and machine learning workloads.
Implement data architecture, modelling, and integration patterns established by enterprise architecture.
Integrate data across cloud platforms, databases, applications, APIs, and enterprise systems.
Design solutions that support
scalability, reliability, performance, monitoring, and maintainability .
Implement data quality and validation controls to improve the reliability of data provided to downstream consumers.
Work with Data Architects, AI/ML Engineers, Data Scientists, product teams, and business stakeholders to translate data requirements into production-ready solutions.
Optimize existing pipelines and integration processes to reduce duplication and accelerate onboarding of new data sources.
Support deployment, troubleshooting, documentation, and ongoing improvement of enterprise data solutions.
#J-18808-Ljbffr
Senior Software Developer - ETL
will design, build, and maintain scalable data pipelines, integrations, and reusable data services that enable enterprise AI, analytics, and data initiatives.
The role will help improve access to trusted data across enterprise systems, operationalize data architecture and integration patterns, and reduce the time and effort required to onboard data for new AI and analytics use cases.
Key Responsibilities
Design, develop, test, and maintain
ETL/ELT pipelines and data integration solutions
across enterprise data sources.
Build
reusable data pipelines, services, and integration components
that can support multiple AI and analytics use cases.
Ingest, transform, and prepare structured and unstructured data for analytics, AI, and machine learning workloads.
Implement data architecture, modelling, and integration patterns established by enterprise architecture.
Integrate data across cloud platforms, databases, applications, APIs, and enterprise systems.
Design solutions that support
scalability, reliability, performance, monitoring, and maintainability .
Implement data quality and validation controls to improve the reliability of data provided to downstream consumers.
Work with Data Architects, AI/ML Engineers, Data Scientists, product teams, and business stakeholders to translate data requirements into production-ready solutions.
Optimize existing pipelines and integration processes to reduce duplication and accelerate onboarding of new data sources.
Support deployment, troubleshooting, documentation, and ongoing improvement of enterprise data solutions.
#J-18808-Ljbffr
Vacancy posted 1 hour ago
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