Save Job Back to Search Job Description Summary Similar JobsWork on 'breakthrough' digital-and-analytics projectsWork with C-level executivesAbout Our Client- Leading MNCJob Description-Creates positive engagement and drives an inclusive work environment with team and stakeholders through the quality of interactions and collaboration across multiple business entities.Effectively works with cross-disciplinary collaborators and stakeholders across multiple business entities.Architects and designs reliable and scalable data infrastructure.Advocates for and ensures their team adheres to software engineering best practices (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation).Responsible for delivering and deploying secure and well-tested software that meets privacy and compliance requirements.Responsible for service reliability and following site-reliability engineering best practices: on-call rotations for services they oversee, responsible for defining and maintaining SLAs. Actively contributes to improve developer velocity.Actively mentors' others and build internal capability.Drives and promotes a data-driven culture and mindset across ExperienceThe Successful ApplicantQualification Bachelor's degree in computer science or related field with Experience-Deep and hands-on experience (typically 17+ years) designing, planning, productionizing, maintaining and documenting reliable and scalable data infrastructure and data products in complex environments.Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++) Deep understanding and proven experience of data modelling and information architecture that underpin most Finance, Procurement, ERP, Human Resources data and analytics.Experience of building data products using the Azure Data Services and Databricks.Experience in a variety of data modelling techniques.Experience of building a varied portfolio of data products and use cases. Experience of building data products for machine learning and advance AI use cases Experience in improving data delivery velocity and reliability including through automation.Experience designing and implementing large-scale distributed systems. Deep knowledge and hands-on experience in technologies across all data lifecycle stages.What's on Offer- Be the pillar of the Data Engineering team of the organization- Work cutting edge data productsQuote job refJN-112024-6599618Job summaryFunctionAnalyticsSub SectorBig DataWhat is your area of specialisation?Energy & Natural ResourcesLocationPuneJob TypePermanentJob ReferenceJN-112024-6599618