... checks Contribute to and help shape company-wide data governance standards Collaborate with analytics, BI, and business teams to deliver trusted, well-modeled data 5–7 years of hands-on data engineering experience - Proven production data engineering experience at scale - Strong Python and SQL skills - Deep analytical warehouse ...
... Databricks key features, like Genie, Apps, Models creations etc Required Qualifications: - Bachelor's degree in computer science, Information Technology, Engineering, or a related field. - Bachelor’s/Master’s degree in Computer Science, Information Technology, Engineering, or related field. - 8+ years of experience in ...
... Engineer will own the end-to-end operationalisation of machine learning, large language model (LLM), and agentic AI workloads on the Bajaj Finance Enterprise Data Platform — a 5PB+ medallion lakehouse built on Azure Databricks and Unity Catalog. This role sits at the intersection of data engineering, model lifecycle management, ...
... workflow. Candidates must demonstrate both hands-on experience and the right mindset to integrate AI effectively into their workflow, while maintaining the engineering rigor, ownership, and problem-solving skills that only humans can provide Job Description PayPay India is looking for an Engineering Manager (Java Background) ...
Procurement Manager - Cost Engineering Value Creation & Strategy Interpath Gurugram, India Interpath is an international and fast-growing advisory business with deep expertise in a broad range of specialisms spanning deals, advisory and restructuring. We deliver tangible results for global businesses, their investors, and ...
... communication skills - Adaptability under pressure, comfortably managing frequently changing priorities and tight timelines - Preferred: prior experience in Proposal Engineering / Detail Engineering / Operations / Field Service / BoP Procurement for Mechanical items of steam turbine power plants; experience handling API projects About ...
... to support digital and data-driven materials intelligence. What You Bring • Degree in Materials Science, Metallurgy, Polymer Science, Chemistry, Chemical Engineering, Physics, or related field. • First practical experience in material characterization, reverse engineering, failure analysis, or applied materials research. ...
Scopely is looking for an Engineering Manager, Backend (Gaming) to join the WWE Champions team in Bangalore! At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. ...
... meetings and one - on - one sessions with direct reports- Manage work - in - progress (WIP) and help teams balance capacity- Translate product roadmaps into engineering work items and execution plans- Support data - driven decision - making for technical investments- Assess challenges, propose solutions, and escalate issues ...
... Contribute to system design, performance optimization, and scalability improvements.- Provide guidance on Python usage for backend services, integrations, or data-processing needs.- Own sprint planning, execution, and timely delivery of engineering initiatives.- Identify and resolve technical challenges to ensure system ...
... is on the line. Job Title: VP, Head of Engineering Locations: Bangalore or Ahmedabad Reports to : Chief Technology Officer A quick snapshot… As the Head of Engineering, India, you’ll lead strategic direction and execution of COE AI initiatives across the organization with focus in Quality Engineering. You’ll build and lead ...
Colt provides network, voice and data centre services to thousands of businesses around the world, allowing them to focus on delivering their business goals instead of the underlying infrastructure. Technical Lead, Optical network Engineering Job ID: 36715 Job Level: PT1 Core Job Location: Gurugram / Bangalore Function: ...
... Actively participate in architecture, design, and code reviews across the stack.- Make or guide key technical decisions on microservices design, API contracts, data modeling, and integration patterns.- Ensure adherence to engineering best practices: code quality, security-by-design, observability, and documentation.- Own ...
... Ensure testing and release systems meet high standards for scalability, resilience, and availability. 3. Quality Metrics & Continuous Improvement - Establish data-driven quality and reliability metrics using DORA, SPACE, and Software Engineering Insights like frameworks. - Analyze and eliminate quality bottlenecks across ...
... with architects, product owners, QA engineers, DevOps teams, and business stakeholders.- Contribute to technical documentation, development standards, and engineering best https://jobeax.com/link/wJIgo45kO3tINlTo Skills:- 6+ years of professional software development experience.- Strong experience in payment systems, preferably ...
Title- Engineering Team Lead (AI-First) As the company digitally reimagines corporate travel through Connect, a unified interface for enterprise clients, travel agents, and hotel suppliers, engineering leadership becomes central to turning platform ambition into reliable execution. To support that mission, this role is ...
... of our niche, user data is highly sensitive. [Expected Compensation Range: ₹35,00,000 – ₹55,00,000 per annum] The Permanent Player-Coach We do not want an Engineering Manager who only manages Jira boards, nor do we want a lone-wolf architect. This is a hands-on Engineering Manager role. We expect a 60/40 split: you will ...
About Zyeta Zyeta is an integrated design-and-build company delivering workplace interiors, design, engineering and construction solutions for leading enterprises and global organisations. As we continue to scale, we are looking for an HR Business Partner who can strengthen our people culture, employee experience and employer ...
... (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs. Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and control expectations ability to coach managers/leads and influence ...