11,360 site reliability engineer jobs in India.

... architecture decisions and ensure best practices in React/Angular, JavaScript, and TypeScript. - Collaborate closely with product managers, designers, and backend engineers to deliver quality features. - Optimize application performance, responsiveness, and accessibility across devices and browsers. - C#/.NET, GenAI prompts - ...

... Data Engineering, ML Engineering, MLOps, LLMOps/Agentic AI Infrastructure, Enterprise Decisioning Platforms, and SRE/DataOps into a cohesive, production-grade engineering https://jobeax.com/link/BlfzrR6vDTAYAy98 Responsibilities : - Engineering Leadership : Build, scale, and mentor Data Engineering, ML Engineering, MLOps, ...

The purpose of the Data Engineer role is to transform diverse and complex data sources into reliable, accessible, and trusted datasets that support Ferrero’s business, digital, and Data & AI transformation objectives. With a primary focus on North American markets, the role will develop and optimize data pipelines across ...

... consistently across clouds. - Ensure platform design aligns with enterprise security, compliance, and cost‑management requirements. - Platform Development & Engineering Enablement - Partner with Platform Engineers and Data Engineers to translate architecture into reusable platform capabilities, frameworks, and templates. ...

... firms in delivering global priority solutions to their clients across a number of different https://jobeax.com/link/oQLP1nObcJpSgWrA Overview : KPMG's Data Engineering team believes analytics has the power to create significant business value. The team takes a business-first approach to solving complex challenges, delivering ...

... the product management of the data foundation behind these solutions - from dataset activation and ingestion to data quality, resolution, joins, and refresh reliability - translating platform needs into a clear engineering https://jobeax.com/link/E4Itpoj9tIol7dOs Responsibilities : Data Sourcing : - Own and prioritize the ...

Job Overview:We are seeking a seasoned Principal Data Engineer with 10+ years of experience to design, build, and scale our next-generation fintech data platform. This is a senior technical leadership role where you will own the architectural strategy for high-performance data lakes, real-time distributed data pipelines, ...

... and manufacturing feasibility reviews. Education Qualification Experience & Qualifications - 4–5 years of experience in CAD engineering, product development, engineering data management, or automotive accessories development. - Bachelor's degree in Mechanical Engineering, Automobile Engineering, Product Engineering, or a ...

Seeking Strong Middle Data Engineers with deep experience in distributed data systems, Spark-based data processing, and production-grade data platform engineering. These engineers will be expected to operate independently, own technical solutions end-to-end, and contribute to both system design and implementation in a highly ...

Role : Senior Data & ML EngineerExperience : 8+ YearsWork Timings : 2 : 00 PM - 11 : 00 PM ISTNotice Period : Immediate - 15 DaysCloud Platform : AWS requiredEmployment Type : Full-timeRole Overview : We are looking for an experienced Senior Data & ML Engineer with strong expertise in data engineering, SQL, cloud platforms, ...

... help organizations modernize operations and unlock data-driven decisions at https://jobeax.com/link/GPWvk9Be52yQPHEH Description : LOB : Operations | Data EngineeringRole : A senior Architect in Data Engineering with exposure to Analytics with end-to-end implementation of projects. It is a replacement for Pradipta so expectations ...

... secure data pipelines that power analytics, reporting and AI/ML initiatives across the https://jobeax.com/link/7BB5Cz4KjBeQ3bW2 will manage a team of data engineers while collaborating closely with product, engineering and other stakeholders to deliver high-impact data https://jobeax.com/link/XnflZD2dGSZYgXFG Responsibilities ...

... MongoDB, Cosmos, In-memory, Columnar, other emerging technologies- Other Languages Java, Python, Scala, R- Build Systems TFS, Github- Ability to integrate tools outside of the core GCP https://jobeax.com/link/wMLFBTx4ToeLBjKN : - GCP Cloud Professional Data Engineer- GCP Cloud Professional Data Architect (ref:hirist.tech) []

... insights into business decisions and strategic actions.- Team Leadership & Mentorship : Lead, mentor, and develop high-performing teams of data scientists, ML engineers, and analytics professionals. Set technical standards, promote deep analytical thinking, and foster a culture of engineering excellence and continuous https://jobeax.com/link/M3S4ylUpxq25v6TX ...

Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology.

... management for 15–20 engineers — performance, development, retention - Primary escalation point for delivery issues with stakeholders Required - 10+ years in data engineering or analytics delivery, including 10+ managing engineers directly - Hands-on Jira: workflows, custom fields, JQL, board and dashboard configuration. Able ...

... https://jobeax.com/link/HKCzVTU4Xc4wuMt4 are bold in our actions, nimble in our decision-making, and industrious in the way we https://jobeax.com/link/1EWGGcV2ZlQ16wIp : Associate Manager - Data EngineeringJob Description : The Associate Manager Data Engineering will lead the design, development, and optimization of data pipelines and platforms supporting analytics, ...

... Guide teams in troubleshooting and resolving complex issues in distributed systems and data pipelines. - Drive the adoption of automation, CI/CD, and quality engineering practices at scale. - Coach and mentor engineering teams, fostering a culture of continuous improvement and technical excellence. - Collaborate with cross-functional ...

Job Overview:We are looking for a Data Engineering Manager with 10 - 15 years of experience to lead data engineering initiatives, build scalable data pipelines, manage data lake architecture, and enable real-time analytics and AI use cases. The role will work closely with application, ML, analytics, and business teams while ...

... building enterprise-grade data pipelines, and delivering analytics-ready data products. The candidate should possess deep technical knowledge across the data engineering lifecycle, from ingestion and transformation to modelling and consumption, while driving delivery through engineering best practices, automation, and stakeholder ...