Senior Data Analyst jobs at Ebay in India, Bengaluru

We’re seeking a Member of Technical Staff 1 (Software Engineer) who can work independently and is an expert in distributed systems . You’ll design and deliver well-scoped services and features that advance eBay’s Core Data Platform—improving scalability, reliability, and developer experience. This role is Data Platform Engineering not data engineering ): you’ll build and evolve the platform itself rather than author application pipelines.

• Independently design, implement, and ship distributed services and features end-to-end (design → code → tests → deploy → operate).

• Build core platform capabilities across ingestion, streaming, lakehouse/warehouse, catalog, and governance .

• Write production-grade code with strong observability (metrics, logs, traces) and SLOs , and participate in on-call for the services you own.

• Diagnose and resolve performance, scalability, and correctness issues in distributed environments.

• Contribute design docs for your areas; participate in reviews to uphold reliability, security, and cost best practices.

• Collaborate with product, infra, and analytics teams to align technical work with business outcomes.
  

• 6+ years of professional software engineering experience (or equivalent impact).

• Expertise in distributed systems fundamentals (consensus, replication, partitioning, consistency models, fault tolerance) and practical experience building and running such systems in production.

• Strong coding skills in Java/Python and familiarity with CI/CD .

• Hands-on with some of: Kafka/Flink , Spark , Delta/Iceberg , Kubernetes , NoSQL/columnar stores .

• Proven ability to work independently , make sound tradeoffs, and deliver quality outcomes with minimal supervision.

• Solid debugging, performance analysis, and system design skills.
  

• multi-tenant platform services, data governance, or privacy-by-design controls.

• Contributions to open-source distributed systems or data platforms.
  

• ships independent, well-scoped features/services to production with strong reliability.

• Demonstrably improves throughput/latency/cost or availability/SLOs on owned services.

• Becomes a go-to engineer for distributed-systems debugging and design conversations within the team.

• Maintains high code quality, test coverage, and quality-in-release metrics.
  

• Impact at scale: Your platform work powers analytics and ML across a global marketplace.

• Hard problems: Streaming freshness/correctness, storage/compute efficiency, multi-region resiliency.

• Collaborative culture: Inclusive team that values autonomy, craftsmanship, and knowledge sharing.

• Growth:

As a senior engineer, you'll take part throughout the product development lifecycle—from conceptual design to product launch—while working closely with Product Managers, Designers, and Architectural teams.

What you'll do and learn:

• Develop features that are modular and loosely coupled

• Able to translate product and design documents into clean, high-quality, crash-free, well-tested and maintainable production code autonomously

• Write unit tests and automation code for all shipped features

• Conduct code review for immediate team

• Develop and maintain technical documentation to support software applications.

• Propose and evaluate multiple design options, providing estimates for each.

• Structure and complete tasks independently, meeting deadlines and milestones.

• Effectively communicate assumptions and seek clarification from stakeholders, ensuring alignment and understanding across all domains.

What you will bring:

• 4+ years professional experience in native mobile development

• Understanding of advanced swift features such as generics / concurrency mgmt /

• Experience with dependency management tools in iOS - SPM/Cocoapods/Carthage etc

• Basic understanding of system design for large scale consumer mobile applications

• Familiarity with CI/CD tools

• Experience implementing modern platform design patterns

• Understanding of testing iOS applications using platform tools

• Experience with production monitoring

• Basic proficiency with swift memory management

• Strong learning ability, self-driven

• Excited about new and innovative technologies within immediate field of expertise

• Attending knowledge sharing sessions, both within the company and externally

• Innovative, team player, excellent communication and decision-making

• Bachelor's degree in EE, CS or other related field or equivalent exp.

We’re building the future of eCommerce product discovery, and we need a data-driven, AI-savvy problem solver to help us do it.

This is a unique role at the intersection of data analytics, AI/ML model evaluation, and prompt engineering—ideal for someone who is just as comfortable writing SQL queries and Python scripts as they are experimenting with LLMs to build analytical solutions.

You’ll be embedded in the Product Knowledge org, shaping how we structure and optimize taxonomy, ontology, and catalog data for next-gen search, recommendations, and AI-driven experiences.

● Analyze & Optimize eCommerce Product Data – Run deep SQL & Python analyses to identify opportunities in taxonomy, ontology, and structured data for search & discovery improvements.

● Leverage LLMs for Analytical Solutions – Use prompt engineering techniques to create AI-driven approaches for taxonomy validation, data enrichment, and classification.

● Evaluate & Improve AI/ML Models – Develop systematic evaluation frameworks for product knowledge models, embeddings, and semantic search solutions.

● Drive Insights & Strategy – Use data-driven storytelling to influence product and AI teams, helping shape decisions on catalog optimization, entity resolution, and knowledge graph development.

● Integrate with AI/ML Teams – Work closely with data scientists and engineers to test and refine AI-based classification, search ranking, and recommendation models.

● Prototype and Experiment – Move fast, test hypotheses, and build quick experiments to validate structured data strategies and AI-driven discovery improvements.

● Strong Data & Analytics Skills – Proficiency in SQL & Python for data wrangling, analytics, and automation.

● Product Analytics Mindset – Familiarity with eCommerce search, recommendations, and knowledge graph applications

● Strong Communication – Ability to turn complex findings into actionable recommendations for Product, AI, and Engineering teams.

● AI/LLM Experience – Hands-on experience with LLMs, prompt engineering, and retrieval-augmented generation (RAG) for AI-powered insights (Preferred )

• Reliability & Performance: Design, implement, and maintain systems and processes to ensure the high availability, performance, and scalability of our production platform.

• Automation: Develop and implement automation for infrastructure provisioning, deployment, monitoring, and incident response, reducing manual toil and improving operational efficiency.

• Observability: Implement and enhance comprehensive monitoring, logging, and alerting solutions to provide deep insights into system health and performance.

• Incident Management: Lead incident response efforts, conduct root cause analyses, and implement preventative measures to minimize future occurrences.

• Capacity Planning: Collaborate with development teams to forecast resource needs and ensure the platform can handle anticipated growth and traffic spikes.

• System Design & Architecture: Provide input on system architecture and design, advocating for reliability, scalability, and operational best practices from the outset.

• Tooling & Infrastructure: Evaluate, select, and implement new tools and technologies to improve our platform's reliability, security, and operational capabilities.

• Collaboration & Mentorship: Work closely with development, QA, and security teams to embed reliability practices throughout the software development lifecycle. Mentor junior engineers on SRE principles and best practices.

• Documentation:

• Experience: 5+ years of experience in a DevOps, SRE, or similar role focused on platform reliability and operations.

• Cloud Platforms: Strong hands-on experience with at least one major cloud provider (e.g., AWS, Azure, GCP).

• Containerization & Orchestration: Expertise with Docker and Kubernetes for deploying and managing microservices.

• Infrastructure as Code: Proficiency with IaC tools such as Terraform, CloudFormation, or Ansible.

• Scripting & Programming: Strong scripting skills (e.g., Python, Bash) and experience with at least one compiled language (e.g., Go, Java, Node.js) for automation and tool development.

• Monitoring & Alerting: Experience with monitoring tools (e.g., Prometheus, Grafana, Datadog, New Relic) and logging systems (e.g., ELK Stack, Splunk).

• CI/CD: Solid understanding and experience with CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions).

• AI Code Generation: Familiarity with foundational AI concepts and practical experience applying AI-powered coding generation (e.g., OpenAI Codex, GitHub Copilot, Anthropic Claude, Cursor, Windsurf or understanding of transformer-based code generation) will be a significant asset.

• Networking: Fundamental understanding of networking concepts (TCP/IP, DNS, Load Balancing, Firewalls).

• Databases: Familiarity with database operations, performance tuning, and backup/recovery strategies (SQL and NoSQL).

• Problem-Solving: Exceptional analytical and troubleshooting skills, with a methodical approach to identifying and resolving complex system issues.

• Communication: Excellent verbal and written communication skills, capable of effectively communicating technical concepts to diverse audiences.

About the Role

The ideal candidate will apply advanced analytics and data science techniques to:

• Drive innovation,
• Build scalable data products, and
• Deliver actionable recommendations through rigorous analysis.

Key Responsibilities

• Apply strong analytical and statistical skills to solve complex and unstructured business problems with structured, data-supported solutions.
• Drive product decisions using A/B testing techniques and experimental design.
• Lead innovation and continuous improvement within the Focus Category Analytics team.
• Develop data products that enable faster and more accurate decision-making.
• Leverage advanced analytics tools and data science models to solve category-level challenges.
• Collaborate with cross-functional teams — including Business, Product Management, Engineering, and Finance — to identify, prioritize, and resolve key business challenges.
• Serve as a trusted partner and advisor to senior leaders, translating complex analytical insights into actionable business recommendations.
• Create tools, dashboards, and reports to monitor and ensure program success.

Additional Requirements

• This role operates in a hybrid work model .
• Flexibility to attend late evening meetings (audio/video conferences) with U.S. or Europe-based teams, and to occasionally respond to emails or complete tasks during late evenings.

What We Expect From You

• Bachelor’s degree in Engineering, Computer Science, Economics, Statistics, Mathematics , or a related quantitative field.
  • Master’s degree or MBA preferred.
• 6+ years of experience in data science, analytics, or a related field .
• Strong analytical skills with proficiency in:
  • SQL
  • Excel
  • Data visualization tools (e.g., Tableau, Power BI, Looker)
• Proficiency in statistical programming languages such as Python or R .
• Background in product analytics , with hands-on experience in A/B test design and measurement preferred.
• Proven track record of using analytics and data science to:
  • Drive significant business impact,
  • Build predictive models, and
  • Solve optimization or elasticity problems.
• Excellent communication skills with the ability to translate technical findings into business insights for non-technical audiences.
• Experience working in a fast-paced, cross-functional environment .

• Quality Strategy & Planning: Collaborate with product managers, developers, and other stakeholders to define comprehensive quality strategies and test plans for new features and existing functionalities across our ReactJS frontend and Node.js/Java backend services.

• Test Automation Development: Design, develop, and maintain robust and scalable automated test suites using frameworks like Jest, React Testing Library, and Cypress for frontend applications, and integrate with backend testing frameworks for Java/Node.js services.

• Performance & Scalability Testing: Conduct performance, load, and scalability testing to identify bottlenecks and ensure our applications meet high-performance standards, working closely with backend engineers on distributed systems.

• Functional & Integration Testing: Lead the execution of functional, integration, and end-to-end tests to validate software behavior, data integrity, and API interactions.

• Defect Management: Identify, log, and prioritize defects, working closely with development teams to ensure timely resolution and retesting.

• CI/CD Integration: Integrate automated tests into the CI/CD pipelines to enable continuous testing and rapid feedback loops.

• Mentorship & Best Practices: Promote and drive quality best practices within the team, providing guidance and mentorship to junior and mid-level engineers on testing methodologies, tools, and automation.

• Troubleshooting & Root Cause Analysis: Assist in diagnosing and debugging complex technical issues, collaborating with development teams to perform root cause analysis.

• Tooling & Innovation: Research and evaluate new testing tools, technologies, and methodologies to enhance our quality assurance processes and efficiency.

• Cross-functional Collaboration:

• Education: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.

• Experience: 5+ years of progressive experience in software quality assurance, with a strong focus on test automation for web applications.

• Frontend Testing Expertise: Strong experience with testing frameworks like Jest, React Testing Library, and Cypress for ReactJS applications.

• Backend Testing: Experience with testing RESTful APIs and/or GraphQL services. Familiarity with testing Java-based backend services (e.g., using JUnit, Mockito) and Node.js backend services.

• Test Automation Architecture: Proven ability to design and implement robust, scalable, and maintainable automated test frameworks.

• Web Technologies: Good understanding of modern web technologies, including HTML5, CSS3, JavaScript (ES6+), and TypeScript.

• AI Code Generation: Familiarity with foundational AI concepts and practical experience applying AI-powered coding generation (e.g., OpenAI Codex, GitHub Copilot, Anthropic Claude, Cursor, Windsurf or understanding of transformer-based code generation) will be a significant asset.

• Version Control: Proficiency with Git and collaborative development workflows.

• Problem Solving: Excellent analytical and problem-solving skills, with a keen eye for detail.

• Communication: Strong verbal and written communication skills, with the ability to effectively communicate technical information and collaborate across teams.

• Agile Methodologies: Experience working in an Agile/Scrum development environment.

• Experience with performance testing tools (e.g., JMeter, LoadRunner).

• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).

• Experience with CI/CD pipelines and tools (e.g., Jenkins, GitLab CI).

• Knowledge of database testing (relational and NoSQL).

• Experience with security testing principles.

• Understanding of micro-frontend architectures.

• Familiarity with AI systems and tools, and experience with AI coding tools (e.g., GitHub Copilot) for test script generation.

What you will accomplish:

• Modeling & NLP Development
  • Design LLM-based pipelines (e.g., using Langchain frameworks) to identify and summarize customer pain points from textual data.
  • Develop summarization, clustering, and topic modeling approaches to group recurring themes across markets and product lines.
  • Apply prompt engineering , retrieval-augmented generation (RAG) , and embedding search to improve model accuracy and relevance.
  • Use machine learning methods in concert with LLM.

• Data Engineering & Processing
  • Build and maintain data pipelines to ingest and clean data from diverse sources (e.g., surveys, customer support tickets, product reviews, social media, and CRM systems).
  • Ensure data quality, scalability, and compliance with internal governance and data privacy policies.
  • Productionize models and integrate outputs with downstream systems and dashboards.

• Insights Delivery & Visualization
  • Design and build interactive visualizations (in JavaScript) that make model outputs accessible and actionable for non-technical stakeholders.
  • Partner with Insights teams to create data stories and presentations that influence business strategy using clear, human-readable summaries of complex findings.

What you will bring:

• Ability to derive insight from data, visualize it appropriately and influence others to drive outcomes
• MSc or PhD in Computer Science, Data Science, Statistics, or a related field .
• 4+ years of experience in machine learning , NLP , or data-driven product development .
• Strong coding proficiency in Python (Pandas, PyTorch, Hugging Face, LangChain, umap, hdbscan, etc.)
• Strong experience with front end development with JavaScript and data visualization libraries (e.g. D3.js)
• Experience deploying and managing machine learning services in containerized environments using Docker and Kubernetes .
• Deep understanding of vector databases , semantic search , and embedding-based retrieval systems .
• Proficient with GitHub and modern version control best practices (e.g. code reviews, CI/CD workflows).
• Proven experience working with large-scale unstructured text data .