Top Python Developer Jobs in Delhi

The Snowflake Data Engineer will develop and manage large-scale data pipelines, collaborate with stakeholders, and optimize data engineering solutions using Snowflake.

The role involves data analysis, modeling, and managing requirements for software delivery, ensuring data quality and compliance with specifications.

The role involves designing, developing, and maintaining large scale data engineering solutions while collaborating with stakeholders on data governance and analytics.

The Full Stack Developer will build and maintain scalable backend and frontend features, ensuring code reliability and collaborating with various teams on business solutions.

The Software QA Engineer/Lead will develop and test products, implement test automation strategies, and optimize testing efficiencies while collaborating with IT project teams.

As a Senior Platform Engineer at Joist AI, you will design AI-driven data pipelines, build internal tools, enhance CI/CD processes, and ensure infrastructure scalability in the AEC industry.

Responsible for defining QA strategies, testing AI-driven pipelines, and collaborating across teams to ensure quality for Joist AI's platform.

The Platform Engineer will build and maintain internal developer tools, manage cloud resources, support DevOps practices, and enhance system observability, ensuring seamless operations for engineering teams.

The Senior Staff Engineer will develop, integrate, and support GenAI-enabled applications while focusing on full-stack development and technical problem-solving.

The role involves supporting and maintaining the Azure Data Platform by managing incidents, monitoring performance, and optimizing database operations. Responsibilities include troubleshooting ADF, Synapse Analytics, and ensuring data security compliance.

The Azure Data Engineer will design and maintain data pipelines, optimize data workflows, and ensure system performance, leveraging Azure technologies.

The role involves developing generative AI models, optimizing machine learning pipelines, mentoring junior engineers, and collaborating with cross-functional teams to enhance AI solutions.

The SDET will automate and maintain tests for the YBA platform, design test plans, develop automation frameworks, and ensure platform reliability through performance testing.

Lead the design, development, and delivery of Tableau dashboards, drive BI vision through advanced data analysis and stakeholder engagement, and uphold data governance best practices.

Join the Core Infrastructure SRE Operations & Security team to manage production systems, incident response, reliability engineering, and security operations. Collaborate with various teams to ensure system stability and improve operational processes.

The role involves developing and maintaining analytics data warehouse and MDM solutions, ensuring data integrity, and supporting business intelligence efforts.

Lead the quality function in a startup, design and implement automation frameworks, manage QA processes, and mentor the SDET team.

The Data Engineer role involves designing and maintaining ETL pipelines, optimizing data storage solutions, collaborating with teams, and ensuring data accuracy and integrity.

As a Senior Full Stack Software Engineer at TRM, you will design and build AI-powered internal applications, collaborate with stakeholders, and manage end-to-end projects.

Develop cloud-native products and services, support deployments, troubleshoot issues, and improve performance and scalability. Requires strong Linux and programming skills.

As a Solutions Architect at phData, you will design and implement data solutions, mentor engineers, and develop technical solutions for cloud platforms.

Responsible for implementing and enhancing enterprise observability and automation platforms, ensuring optimal network performance and compliance with governance standards.

The Data Scientist will analyze data, optimize ML systems for pricing, propose ML opportunities, collaborate with teams, and support data-driven decisions.

The Data Scientist will analyze and model data for ML systems, focusing on Personalization and Recommendation Engines, and collaborate with teams to enhance data-driven solutions.

The Software Development Engineer will design, develop, and maintain software applications, troubleshoot issues, and collaborate with teams to ensure software meets project requirements.