Top Tech Jobs & Startup Jobs in Delhi

Develop, enhance, and maintain full-stack applications using ReactJS and .NET/C#. Build scalable cloud-native solutions on GCP, including data pipelines, event-driven services, and automated tests. Collaborate in Agile/Scrum teams, participate in code reviews and architecture decisions, own roadmap projects, and troubleshoot production issues.

Build and maintain cloud data pipelines, transformations, orchestration workflows, governance controls, and analytics-ready datasets. Integrate APIs, Databricks, BI tools, and platform connectors while troubleshooting data quality and performance issues. Collaborate with product, engineering, DevOps, security, and client-facing teams on architecture, access management, infrastructure migrations, documentation, and production support.

Provides technical guidance across the software development lifecycle, including requirements analysis, design, development, testing, documentation, release processes, and feature delivery. Owns complex application features, resolves technical issues, improves code stability and reusability, integrates technologies, estimates work, identifies security and usability issues, delivers training, and mentors software engineers.

Leads QA activities for data warehouse and database-focused software projects. Defines testing scope, creates test plans and SQL scripts, designs comprehensive test cases, performs functional, regression, load, system, and UAT testing, manages defects through resolution, investigates data quality issues, communicates status to stakeholders, establishes QA best practices, and mentors 2–3 QA associates.

Maintains, cleans, manipulates, and secures operational and analytics databases. Designs scalable data pipeline architecture, builds complex data sets and analytics tools, automates manual processes, improves infrastructure, troubleshoots database issues, and supports software engineering, data science, analytics, product, design, and executive stakeholders.

Leads QA strategy and execution for Azure Data Factory data pipelines and workflows. Designs test plans, automation, and data validation processes; verifies data accuracy across Azure SQL, Synapse, and Data Lake environments. Collaborates with engineering and business teams, monitors quality metrics, ensures governance compliance, mentors junior QA staff, and coordinates testing across Agile sprints.

The Tech Lead will oversee integration and automation solutions, create technical specifications, guide the tech team, ensure timely delivery, and support impact analysis on systems.

Designs and implements multi-cloud data architecture solutions across AWS, Azure, and GCP. Responsibilities include data modeling, ETL/ELT pipelines, data warehousing, analytics platforms, governance, security, compliance, solution proposals, architecture diagrams, and cost models. The architect participates in hands-on development, pre-sales and RFP responses, client engagement, mentoring junior architects, master data management, SaaS tools, and AI integration.

Design, develop, and optimize secure, scalable cloud data platforms and ETL/ELT pipelines across AWS, Azure, and GCP. Write Python and SQL, implement data governance and quality controls, optimize performance and costs, and support analytics and BI layers. Contribute to architecture, pre-sales demos, proofs of concept, and client discussions. Mentor junior developers, conduct code reviews, and collaborate with architects, QA, DevOps, and business stakeholders.

Owns end-to-end technical solution architecture and delivery for cloud-based data projects. Designs Azure data warehouses, data marts, databases, ETL pipelines, and ingestion solutions; translates requirements into SQL and ETL code; documents architecture and detailed designs; coaches implementation teams; manages project resources; supports testing, governance, proofs of concept, and client delivery. Collaborates with project managers, business analysts, DBAs, data scientists, clients, and global teams while enforcing development standards and deployment practices.