Lead Data Analytics Engineer Salary India Jobs

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Responsibilities Perform electrical and physical failure analysis for device anomalies, customer returns, and qualification failures. Apply advanced FA tools including FIB/EDX, SEM, Ion Millers, CSAM, 2D/3D X-ray, Emmi systems, micro-prober and bench tester. Analyze test data failures using Bash/Python scripting in a Unix environment. Analyze electrical signatures and physical defects to resolve failure mechanisms. Collaborate with process owners and Product teams to drive improvement actions. Develop and implement new FA techniques to reduce turnaround time and enhance accuracy. Drive continuous improvement initiatives and embrace standards for FA workflows. Ensure strict consistency to lab safety protocols and chemical handling guidelines. Maintain +6S standards in the FA lab. Prepare detailed FA reports and maintain accurate records for traceability. Present findings to requestors, MRB and multi-functional teams. Provide guidance to FA technicians and lead workload distribution. Work closely with vendors for tool upgrades and capability improvements. Utilize AI-enabled tools and digital solutions to accelerate failure analysis investigations, improve problem-solving efficiency,

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a Senior Hardware Design Engineer on the Datastore team, you will architect and launch our next-generation, high-performance solid-state storage solutions from concept to global mass production. Collaborating closely with cross-functional architecture, thermal, and joint development manufacturing (JDM) teams, you will pioneer high-speed hardware that directly reduces total cost of ownership (TCO) and energy consumption for our global customers. Your engineering leadership will fundamentally reshape data storage efficiency, transforming cutting-edge high-speed interfaces into reliable, market-ready enterprise products. WHAT YOU'LL DO Own End-to-End Productization: Lead SSD hardware design activities—including schematic design, component selection, and layout reviews—to successfully transition next-generation storage solutions from initial architecture through to mass production. Drive System Interoperability: Design and execute cross-platform interoperability testing across complex server/storage systems and SSDs to ensure seamless integration and industry-leading reliability. Resolve Complex System Trade-offs: Evaluate and optimize critical system-level tradeoffs across mechanical, thermal, power, and signal integrity (SI) parameters to maximize hardware efficiency. Spearhead Root Cause Analysis: Diagnose and resolve complex hardware issues and field escalations by collaborating with diagnostics engineers and e

About SingleStore SingleStore delivers a real-time, distributed SQL database that unifies transactional and analytical workloads. Our engineers build cloud-native software for some of the world’s most demanding data-intensive applications, working in a fast-moving environment where teams own their work end to end and partner closely across Product and customer-facing organisations. About the Flow team SingleStore Flow is an enterprise data migration and integration product that helps customers move data into SingleStore reliably and at scale. The team builds the systems that support schema transfer, bulk data loading, real-time Change Data Capture (CDC), large-table migrations, and a native experience in SingleStore Helios. Flow spans Java-based engines, source and destination connectors, database internals, performance and memory management, Helios services and APIs, observability, test automation, Flow AI Agent and signed production release delivery. The product works across heterogeneous database environments, including MySQL, PostgreSQL, Oracle, SQL Server, MongoDB, SAP HANA, Snowflake, Salesforce, and SingleStore-as-a-source. Position Overview We are looking for a Staff Engineer to provide technical leadership for Flow’s end-to-end data path from source systems and CDC through migration engines, APIs, Helios, and the customer experience. This is a hands-on individual contributor role with broad technical influence. You will own major architectural decisions, lead strategically important and release-defining initiatives, solve complex reliability and data-consistency problems, and help the team build durable systems that customers can trust with their most important migrations. You will remain close to the code while raising the technical bar for design, testing, observability, operational excellence, and AI-assisted engineering. The ideal candidate is a systems-minded engineer who enjoys working across product boundaries, can move comfortably between architectu

Description Dawn Aerospace is looking for a System Design Engineer to lead the system-level development of custom spacecraft propulsion systems. In this role, you will be responsible for the full development lifecycle, from requirements definition and concept development through detailed design, integration, testing, and delivery. The role involves close collaboration with customers, project managers, and multidisciplinary engineering teams. Key Responsibilities Act as the technical lead for the entire development cycle of a custom propulsion system Define and manage system-level requirements and establish their verification methods Define the technical budgets for the propulsion system Define the propulsion system architecture Develop the detailed design of the propulsion system Support AIT activities during propulsion system integration and testing Serve as the technical point of contact for the customer Work closely with project management and subsystem experts Required Experience: A degree in aerospace, mechanical, or system engineering, or a closely related technical discipline At least three years of experience in the design and development of spacecraft systems or comparable hardware Experience in customer engagement Demonstrated ability to work within multidisciplinary engineering teams Proficiency in computer-aided design; experience with SolidWorks is preferred Experience using MATLAB, Python, or comparable tools for engineering analysis, modelling, data processing, or workflow automation Desired Experience Experience with chemical or electric spacecraft propulsion systems Hands-on experience with aerospace hardware assembly, integration, and testing Working knowledge of ECSS, NASA, or comparable industry standards Experience collaborating across geographically distributed engineering teams Experience delivering flight hardware through rapid development cycles Note that the role is a permanent position that will start with a fixed-term contract of 12 month

Summary: We are seeking an experienced Senior DevOps Engineer with over 8 years in the field to lead the design, implementation, and management of infrastructure and deployment pipelines across hybrid environments, including on-premises data centers and the cloud. This role requires deep expertise in AWS, Azure, Kubernetes, Infrastructure as Code (IaC), CI/CD, and monitoring tools. The engineer will collaborate closely with development, QA, and operations teams to ensure the delivery of reliable, scalable, and secure enterprise-grade applications. Additionally, the role involves mentoring junior team members and leading automation initiatives. Responsibilities: Manage and support hybrid infrastructure, including physical data centers, AWS, and Azure services. Design and implement Infrastructure-as-Code using tools like Terraform, Pulumi, and CloudFormation. Configure and maintain Kubernetes clusters, ensuring scalability and high availability. Build, maintain, and optimize CI/CD pipelines using Jenkins, GitLab CI, Bitbucket, and GitHub. Automate deployment, scaling, and monitoring processes. Set up and maintain observability using Grafana, Prometheus, and other monitoring tools. Perform root cause analysis of performance issues and participate in on-call support. Manage SSL/TLS and code signing certificates and implement infrastructure security best practices. Support compliance and audit requirements through documentation and monitoring. Collaborate with cross-functional teams to improve infrastructure reliability and delivery processes. Document processes in Confluence, track work in Jira, and contribute to knowledge sharing. Write root cause analysis and incident post-mortems to prevent future issues. Required Skills & Experience: 8+ years of experience in DevOps, Site Reliability Engineering, or related roles. Strong expertise with AWS and Azure services. Experience with Infrastructure-as-Code tools and GitOps. Proven experience with Kubernetes/EKS setup and

MongoDB's Application Modernization Platform (AMP) helps organizations modernize legacy applications and move their workloads and associated data from relational databases to MongoDB. Our customers need a dependable way to bring analysis, transformation, testing, and migration capabilities into their modernization workflows. The Platform team builds the shared foundations that make AMP a cohesive product. We connect specialized tools and services through consistent interfaces, integrate them with AI agents and development environments, and make them secure, observable, and straightforward to deploy and operate. Our work enables product teams to deliver new capabilities without repeatedly solving the same integration and infrastructure problems. We are looking for a Staff Engineer to set technical direction and lead delivery of this platform. You will combine deep systems engineering with product judgment, turning ambiguous requirements into reusable services and working integrations. You will define clear boundaries between platform, product teams, and external partners; make deliberate build-versus-integrate decisions; and contribute foundational code. Your impact will be measured by how reliably teams and customers can adopt and use AMP capabilities, and how much engineering effort the platform removes from their path. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. A strong candidate for this position will have: Technical Leadership: Over 8 years in software engineering and production operations, with a proven history of championing major technical strategies and deploying resilient, scalable architectures Platform Engineering: Deep practical expertise architecting common frameworks, distributed architectures, or core developer tooling leveraged across multiple organizations or customer environments API & System Design: Track record of establishing and refining service boundaries, interfaces, and data schemas with

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a Software Engineer on the DX Security Components team , you will architect the backend services that safeguard Pure’s core authentication and remote access infrastructure. You’ll act as a security-minded engineer within a high-impact platform team, ensuring our cloud offerings and customer appliances remain auditable and resilient. Collaborating across the DX organization, you will bridge the gap between robust security protocols and seamless developer integration to protect our global customer base. WHAT YOU’LL DO Engineer Security Infrastructure: Design and operate high-availability backend services that manage authentication, authorization, and certificate lifecycles to ensure secure access across all Pure1 cloud and appliance environments. Drive End-to-End Ownership: Lead the full service lifecycle—from initial architectural design and threat modeling (STRIDE) to deployment, observability, and long-term cost efficiency. Champion Secure Integration: Partner with Security Governance and product teams to streamline remote-access flows, translating complex security requirements into pragmatic, automated workflows for other engineering squads. Ensure System Resilience: Maintain the integrity of security-sensitive systems by participating in a global follow-the-sun on-call rotation, performing root-cause analysis, and hardening infrastructure against emerging threats. Automate Trust: Evolve Infrastructure as Cod

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE The Pure Engineering Team builds the industry’s most innovative, high-performance, and highly available portfolio of products that are designed for the most demanding mission critical applications. Our customers are the most important part of our business and they love our products for its simplicity of management, the constant flow of new and exciting upgrades, and ability to live on the cutting edge of technology while never taking downtime, ever. These new innovations enable our customers to leverage the agility of the public cloud for both traditional IT and cloud-native applications. WHAT YOU'LL DO Responsible for debugging Hardware and System level issues Lead Hardware and Mechanical validation of new drive designs, both internally and with JDM. Includes board level signal/power measurements, mechanical testing, thermal measurements, 4-corner testing, etc… Support interoperability and debug of Pure Storage devices in customer systems Analyze and document test results Perform failure and root cause analysis to support field issues, customer escalation and factory defects Collaborate with cross-functional teams to implement corrective actions and process improvements We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave. WHAT YOU BRING 7+

Machine Learning Engineer – Biometrics (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestra

About the Job: As a Staff Engineer on LaunchDarkly's Experimentation team, you'll build the platform that helps engineering teams make data-driven decisions with confidence. Our Experimentation product enables customers to run A/B tests, measure the impact of feature changes, and optimize experiences — integrated with a feature management platform that processes trillions of evaluations daily. This role sits at the intersection of data science and platform engineering. You'll design the statistical engine, warehouse-native analysis pipelines, and adaptive experimentation systems (including contextual bandits) that power our customers' most important decisions. We want someone who brings genuine depth in applied statistics and ML — as fluent in statistical validity as in system architecture. You'll also architect warehouse-agnostic features that run analysis directly inside customers' data warehouses (Snowflake, Databricks, Redshift, BigQuery) — modular computation layers that abstract across warehouse environments while maintaining statistical correctness. Deep technical experience, a scientific mindset, and the ability to influence product and technical direction are critical. You'll lead by example: setting the bar for rigor, mentoring teammates, and owning systems end to end, including on-call. Responsibilities: Build the experimentation statistical engine — hypothesis testing, sequential analysis, variance reduction ( CUPED , Winsorization), power analysis. Ensure statistical correctness across all experiment types. Design warehouse-native experimentation that runs analysis inside customer warehouses (Snowflake, Databricks, Redshift, BigQuery). Build modular, warehouse-agnostic abstractions for rapid new backend support. Lead adaptive experimentation — contextual bandit systems, Bayesian optimization, automated allocation beyond simple A/B tests. Drive the platform roadmap with product, design, and data science. Shape what we build, not just how. Collaborate cro

Role Purpose We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on ex

The goal of a Staff Machine Learning Engineer at Scale is to lead the design and deployment of agentic AI systems that operate in real-world, mission-critical government environments. On the Public Sector team, you’ll work at the intersection of agentic ML, systems engineering, and applied research, building foundational infrastructure that enables AI systems to reason, plan, and act reliably at national scale. Our Public Sector ML Team partners directly with U.S. defense and intelligence agencies to deploy AI into classified and regulated environments. Through flagship programs like Donovan and Thunderforge , we are advancing the next generation of agentic AI for geospatial reasoning, planning, and decision support. Staff Machine Learning Engineers play a central role in setting technical direction, owning core architectures, and translating ambitious ideas into production systems trusted by government operators. You will: Lead the architecture and implementation of agentic AI systems, with a focus on long-horizon reasoning, orchestration, and system-level reliability. Build and scale agents that perform complex geospatial reasoning, including interpreting, generating, and reasoning over maps and spatial data. Design and improve retrieval systems across large collections of static and semi-structured documents, enabling agents to surface high-signal context efficiently. Fine-tune and evaluate embedding models to improve recall and precision for mission-critical datasets. Design memory systems that allow agents to persist state, operate over long contexts, and learn from prior interactions. Own and evolve shared agentic infrastructure and core libraries, enabling reuse across teams, products, and Public Sector contracts. Define evaluation strategies for agentic systems, including robustness testing, failure-mode analysis, and regression testing in production environments. Partner closely with engineering managers, product leaders, and researchers to scope high-impac

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Join our team as a Firmware Engineer and help us innovate the future of data storage. You'll be a key player in designing and developing the firmware for our industry-leading DirectFlash™ SSD Modules. This is a unique opportunity to work on cutting-edge hardware, collaborating closely with our hardware and software engineering teams to create high-performance, resilient storage solutions that are foundational to our technology. WHAT YOU'LL DO Design, implement, and test firmware for our DirectFlash™ SSD Modules, leveraging your expertise in C/C++ to build robust, high-performance solutions. Lead the bring-up and integration of new hardware components, developing low-level firmware features to enable next-generation storage products. Investigate and debug complex firmware and hardware issues, creating advanced failure analysis tools and processes to ensure product reliability. Automate internal development workflows, including continuous integration and automated testing, to accelerate our engineering and release cycles.

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Drive the evolution of high-performance, energy-efficient storage solutions built specifically for hyperscale environments. As a key technical contributor in Everpure’s Hyperscale Line of Business, you will collaborate directly with hyperscale customers, ODM/JDM partners, and internal engineering teams to translate complex requirements into robust, deployment-ready hardware . Your goal is to maximize storage platform density and total-cost-of-ownership (TCO) optimization by taking cutting-edge designs from initial architecture through rigorous validation to full-scale production . WHAT YOU'LL DO Lead End-to-End Hardware Qualification: Plan, implement, and automate hardware design validation projects in partnership with hyperscale customers and ODM/JDM vendors to guarantee production readiness, signal integrity, and long-term reliability . Drive System Hardening and Debugging: Perform root-cause failure analysis, analyze high-speed protocol captures, and resolve complex electrical, thermal, and firmware-hardware interaction issues to maintain peak platform availability . Optimize Hardware Architecture: Review high-speed bus interfaces (PCIe, Ethernet, Serial Busses) and evaluate thermal cooling trade-offs to ensure sub-system components meet rigorous hyperscale efficiency standards . Accelerate Cross-Functional Productization: Partner across software engineering, operations, and manufacturing teams to integr

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is seeking a Senior Operational Performance Engineer to track vehicle performance and uncertainty from conceptual design through production and to lead the evidence strategy that closes the gaps. You will maintain the vehicle-level picture of predicted performance, measured performance, and the confidence each claim deserves. You will define the engineering questions that matter most, determine what analysis and test evidence is needed to answer them, and drive measured-data insights back into the conceptual design and MDAO tools that generate the next prediction. This is a vehicle-level engineering role. You will work across Conceptual Design, MDAO, GNC, Propulsion, Mechanical, Flight Test, and other engineering teams to track performance, identify risks, define evidence requirements, establish assessment criteria, and drive uncertainties toward closure. You will work closely with the Mass Properties and Vehicle Performance engineer, whose records and baselines feed your tracking and assessment work. This role is part of Operational Performance within Mach's Vehicle Design and Performance organization, alongside Conceptual Design and MDAO. Conceptual Design creates, MDAO enables, and Operational Performance assesses and closes t