Top Python Developer Jobs in Delhi

Manage financial and operational analytics, including reporting, reconciliation, fund movement, regulatory reporting, dashboards, and ad-hoc analysis. Deliver actionable insights for business decisions, product development, and process optimization. Collaborate with Finance, Sales, Operations, Product, Tech, and external payment partners while maintaining accurate data and reports.

Design, build, and maintain scalable data pipelines and ETL/ELT workflows using Azure Data Factory, Databricks, PySpark, Python, and SQL. Transform large datasets, optimize data ingestion and queries, monitor pipeline performance, resolve data quality issues, support data modeling, document engineering standards, and contribute to cloud data infrastructure improvements. The role also involves collaboration with architects and senior engineers and requires familiarity with Azure Synapse, Delta Lake, governance, and security.

Owns the growth roadmap for AI-driven products, leading initiatives from strategy through execution to improve revenue, adoption, acquisition, and activation. Designs data-driven experiments, analyzes product and operational metrics, defines success measures with leadership, and builds scalable growth systems and playbooks. Requires cross-functional collaboration with Product, Engineering, Operations, and GTM teams, strong autonomy, and availability during U.S. business hours.

Analyze complex quantitative and qualitative data, design research and monitoring frameworks, conduct primary and secondary research, and produce reports, policy briefs, dashboards, and analytical insights. The role supports impact evaluations, performance tracking, evidence-based strategy, proposal development, and stakeholder presentations while translating complex findings into clear narratives for leadership and program teams.

The Senior Data Analyst will define source data, create data mapping, report inconsistencies, assist with data migration, and manage stakeholder expectations while delivering insights in financial services.

Principal Data Engineer responsible for developing and supporting Databricks pipelines, integrating heterogeneous healthcare data sources, modeling unified data products, and ensuring data quality and availability. The role partners with business stakeholders, product teams, data engineers, and clinical leaders to gather requirements, create datasets, support ad hoc analytics, enable machine learning and AI use cases, and assist with acquisition integrations. Extensive healthcare data, cloud, SQL, PySpark, and Python experience is required.

Lead end-to-end development of high-performance AI-driven web applications using React, Python FastAPI, and Rust. Build responsive interfaces, scalable hybrid backend services, semantic search, summarization, and agentic workflows. Integrate NLP and generative AI models, optimize processing with Rust, and work with PostgreSQL and Redis. Drive architecture, promote type safety, create streaming AI user experiences, and mentor junior engineers.

Build and refine AI-powered prototypes for supply chain and manufacturing operations. Engage with factory and warehouse teams, translate operational needs into software requirements, develop Python-based RAG and agentic systems, integrate APIs and data sources, and iterate prototypes based on frontline feedback. The role involves SQL and document data preparation, agile collaboration, occasional manufacturing-site travel, and progressive adoption of enterprise AI frameworks and production engineering practices.

Manage network operations issues from identification through closure, produce accurate daily status and SLA reports, validate and reconcile data, analyze root causes, coordinate technical resolution, and automate repetitive reporting and operational tasks using Excel, dashboards, Python, or scripting. The role requires strong network architecture knowledge, hands-on experience with routers, switches, and firewalls, clear stakeholder communication, documentation, and willingness to work shifts from the Bangalore or Hyderabad office.

Design, build, and scale production AI agents across EveryWatch. Own the agent roadmap, architecture, shared tools, memory, state, observability, evaluation, and cost controls. Harden WatchChat, develop RAG and tool-calling systems, establish measurable quality standards, and ship solutions directly in Python. Collaborate with sales, product, data, and engineering teams to identify high-impact use cases and take agent concepts from discovery through production.

Owns data quality and reliability for data engineering projects by defining testing strategies, building scalable automation frameworks, validating pipelines and analytical platforms, and managing release readiness. The role covers backend and pipeline testing, data integrity, ETL/ELT validation, AI-augmented test development, governance, code reviews, and reducing manual testing. It requires close collaboration with data engineering, product, and data science teams.

Hybrid QA Engineer responsible for manual and automated testing of web, Android, and iOS casino games. Duties include designing and maintaining automated tests, API and performance testing, defect tracking, test strategy development, quality process improvement, code and design reviews, CI/CD integration, release quality gates, documentation, and mentoring QA team members. Requires strong Python automation experience, web and mobile testing expertise, database knowledge, Docker, Agile experience, and UK timezone overlap.

Design, develop, test, and maintain scalable backend services, APIs, and microservices. Optimize databases and data models, integrate third-party services and payment gateways, implement security controls, troubleshoot production issues, and support CI/CD deployments. Collaborate with frontend, product, and QA teams; participate in code reviews and technical design discussions; and produce clean, documented, high-performance software.

Supports city and country mapping data quality through local transit and regulatory expertise. Responsibilities include creating mapping policies and guidelines, validating and editing transit data, resolving complex mapping issues, conducting field research, auditing imported data, managing alerts and outages, and collaborating with internal teams, partners, and data providers. The role also manages city-specific data pipelines using internal platforms and basic programming skills.

Design, develop, deploy, and maintain high-performance, scalable Python-based enterprise web applications. Integrate with cross-platform web services, perform performance profiling/tuning, follow Agile processes, and contribute across the full product lifecycle for mission-critical emergency services.

Design, develop, test and maintain telecom-grade embedded C/C++ and IoT applications. Integrate device firmware with cross-platform web services, apply multi-threading and asynchronous communication, perform performance profiling and tuning, and follow Agile lifecycle practices. Contribute across design to deployment and collaborate on mission-critical, large-scale emergency services.

Develop, test, and maintain Android mobile applications using Android SDK and Core Java. Integrate apps with web services, profile and tune performance, use Android testing frameworks, and collaborate in Agile processes. Contribute across the product lifecycle to build reliable, user-facing apps that support large-scale emergency services.

Design, build, and own end-to-end web application modules across backend, frontend, and infrastructure. Integrate LLM-powered features (RAG, embeddings, prompt engineering), ensure code quality with tests and CI/CD, optimize performance and databases, participate in architecture and client discussions, and mentor peers while driving reliable delivery and technical vision.

Lead technical execution across client engagements: author RFP responses, architect solutions, write and review code, debug production issues, integrate AI features, manage CI/CD and infrastructure, run sprints, hire and mentor engineers, and own client-facing technical communication through delivery and handover.

Lead design and build of DevOps pipelines, CI/CD, provisioning, deployment, monitoring and Kubernetes/EKS clusters. Implement automation (Terraform, Ansible), containerization (Docker, Helm), cloud integrations (AWS/Azure/GCP), security and non-functional testing (SAST/DAST/OWASP), and support microservice deployments and monitoring (Prometheus, Grafana, ELK).

Independently leads statistical programming for pharmaceutical clinical development studies. Develops and validates SAS and R programs, SDTM and ADaM datasets, specifications, tables, listings, graphs, and regulatory submission deliverables. Oversees CRO programming work, supports clinical study reports and FDA submissions, maintains programming standards, contributes to CRFs and validation plans, and collaborates with clinical, regulatory, vendor, and development teams.

Recruit and coordinate candidates across creative and business roles, manage job postings, screen applications, maintain ATS pipelines, automate recruiting workflows with AI tools and APIs, conduct outreach, schedule interviews, support offers and onboarding, build talent pools, and report hiring metrics.

Lead the architecture and technical direction of Secure Web Gateway products. Design and implement highly scalable, low-latency cloud security services that inspect network traffic, enforce DLP and threat policies, protect LLM and generative AI applications, and integrate key management capabilities. Provide technical leadership, guide product requirements, resolve complex customer issues, promote engineering best practices, and represent the company in industry forums.

Develop full-stack web applications for Netskope’s security products, implementing reusable React or Angular UI components and supporting WebUI backend services. Collaborate with backend teams across machine learning, threat, DLP, IaaS, and API technologies. Ensure cross-browser compatibility, optimize application performance, apply secure development practices, and evaluate emerging web technologies and AI-assisted coding tools.

Develop and deliver AI/ML solutions by building supervised and unsupervised models, deep learning systems, NLP and LLM applications. Responsibilities include LLM fine-tuning, prompt engineering, RAG, vector databases, transformer architectures, and AI agent deployment. The role requires partnering with business stakeholders, presenting technical findings, and continuously learning emerging AI technologies.