Top Python Developer Jobs in Delhi

The role involves designing, implementing, and managing Splunk environments, developing applications and reports, troubleshooting issues, and integrating with teams.

The Senior SOAR Engineer automates and orchestrates security operations using Cortex XSOAR, focusing on incident response, playbook development, and tool integration.

As an AI Engineer, you'll design and deploy AI solutions, mentor teams, ensure ethical compliance, and drive business value through innovation.

The M&E Analyst will design and manage monitoring and evaluation projects, develop indicators, analyze data, and provide recommendations for program improvement within the organization.

Analyze and review business performance on customer metrics, develop analytics capabilities, and create insightful dashboards to enhance customer engagement and value.

The role involves analyzing marketing data, performing econometric modeling, and providing insights through statistical techniques and data visualization tools.

The IAM Dev SecOps Engineer ensures reliability, performance, and cost optimization of cloud services using Azure and AWS, manages cloud infrastructure, automates deployments, and collaborates with teams on security compliance and application workflows.

Design and implement system requirements for OT/ICS environments, manage data and storage, ensure security compliance, and lead continuous improvement efforts.

Design, develop, implement and maintain Big Data solutions for Disability & Absence products. Build batch, speed, and serving layers using Spark, Hive, NoSQL, SOLR and Kafka; optimize Hadoop jobs; automate with Shell/Python; support deployments, CI/CD, runbooks, and cross-team collaboration.

The Senior Automation Engineer will design, develop, and maintain test scripts for video streaming applications, ensuring software quality through various testing methodologies and collaboration with cross-functional teams.

The Big Data Engineer will design and develop scalable data solutions, build data pipelines, ensure data quality, and collaborate across teams.

The Google Cloud AI Specialist will design and implement AI solutions using Google Cloud Platform to enhance decision-making and provide actionable insights, develop machine learning models, and ensure data quality.

The role involves evaluating and modernizing existing applications using Google Cloud technologies, guiding clients through migration, and implementing cloud-native architectures while optimizing performance and security.

Design and maintain the GCP infrastructure and DevOps practices, implement CI/CD pipelines, optimize resources, and enhance application performance.

The Data Warehouse Operations Senior Engineer will monitor, maintain, and optimize the enterprise data warehouse, ensuring stability and performance of ETL, reporting, and cloud infrastructure. Responsibilities include troubleshooting, compliance, incident management, and system performance monitoring.

As a Solutions Engineer, you'll work closely with national security partners to develop and deploy software solutions, while providing technical consultation and support.

The Google Cloud Engineer will design and manage GCP infrastructure, implement IaC, optimize performance, and enhance security while collaborating with teams.

The Google Cloud Data Engineer will design and implement data pipelines using Google Cloud technologies and collaborate with analysts to ensure data quality and governance.

You will implement scalable services, write maintainable code, participate in reviews, and improve automation and operational reliability.

The Junior Amazon Connect Support Engineer will monitor, troubleshoot, and ensure the reliability of CCaaS platforms using AWS services and support operational efficiency through scripting.

The Amazon Connect Support Engineer will maintain AWS-based contact center environments, troubleshoot issues, and improve monitoring capabilities for performance and reliability.

The Solutions Architect will design, optimize, and deliver technology solutions, focusing on cloud technologies and collaborating with stakeholders to align strategies with business goals.

This role involves working with Python and tools like AcrPy and ArcEQuIS for data science and automation tasks.

Design and execute automated and manual tests for backend APIs and distributed systems. Build and maintain automation frameworks, validate API schema/auth, review API specs, create test plans, report results, and collaborate with engineering to resolve defects and improve test coverage.

The Technical Support Analyst provides Level 2 support, resolves technical issues, monitors application performance, and ensures customer satisfaction through professional interaction and timely issue resolution.