Please share the updated resume to sm*******e@in******s.com
Responsibilities:
Design, implement, and maintain scalable data pipelines using Azure Data Factory.
Manage data extraction, transformation, and loading (ETL/ELT) from diverse sources into DWH.
Collaborate with analysts, ML engineers, and developers to ensure data accessibility and quality.
Maintain Oracle database integration with other enterprise systems.
Support configuration management, release planning, and deployment of data services.
Ensure data security, privacy, and compliance best practices are followed.
Why this position:At Intellias, where technology takes center stage, people always come before processes. We're dedicated to cultivating a tech-savvy environment that empowers individuals to unlock their true potential and achieve extraordinary results. Our customized benefits not only prioritize your well-being but also charge your professional growth, making this opportunity an ideal match for tech enthusiasts like you.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full time