Top Tech Jobs & Startup Jobs in Delhi

Perform data migration/refresh from production, support Python-based data refresh framework, run post-migration fixes, validate and reconcile data, monitor and resolve batch jobs and pipeline issues, perform performance checks, and coordinate with dependent teams.

Design, build, and maintain scalable backend services and RESTful APIs using Java and Spring Boot. Implement event-driven architectures with Kafka, manage data in PostgreSQL/Redis, ensure performance and resilience, troubleshoot production issues, participate in code reviews, and collaborate with cross-functional teams for releases.

Lead and scale talent acquisition strategy and operations, oversee full-cycle recruiting, develop forecasting and sourcing processes, build candidate pipelines, measure KPIs, train interviewers, ensure legal and immigration compliance, and mentor recruiting teams to meet client demand and improve TA efficiency.

Develop and maintain iOS applications using Swift, SwiftUI and UIKit. Implement MVVM and VIPER architectures, manage app lifecycle and memory, integrate RESTful APIs/JSON, use SPM, and apply async programming (async/await, GCD, Combine).

Build and maintain cross-platform mobile apps using React Native. Implement pixel-perfect UIs, reusable components and design systems, integrate REST/GraphQL APIs, handle auth and storage, write unit and component tests, debug and optimize performance, collaborate across teams, and support App Store/Play Store releases.

No job description provided. Title indicates a Software Engineer role focused on investor-related work on an offshore Hyderabad team.

Senior software engineer focused on ETL testing: strong SQL and ETL testing concepts, experience with ETL testing tools, and core Python coding to automate ETL tests.

Develop and maintain Java backend services and REST APIs using frameworks like Spring. Build on AWS (S3, DynamoDB, Glue, Kinesis), deploy on Kubernetes, and work with NoSQL datastores. Collaborate on monitoring, CI/CD, and data pipeline integrations.

Administer and maintain Jira Software, Jira Service Management, and Confluence; optimize workflows, screens, custom fields, and automation; maintain integrations; provide ITIL-based Jira technical support; manage access control, audits, upgrades, and change implementations; document processes and transfer knowledge; advise users on appropriate Atlassian apps.

Senior Big Data engineer role requiring design and development of scalable data pipelines and ETL using Spark and Scala/Python on AWS EMR, with experience integrating Oracle databases and working in Unix environments.