2,020 Full-time lead data engineer jobs in India.

• Full-time

... Leader who can lead technology initiatives from concept to delivery. The ideal candidate will be a hands-on builder, architect, mentor, and strategic technology leader capable of designing, developing, and scaling modern software products while leading engineering teams toward successful execution. The individual will work ...

• On-site
• Full-time

... https://jobeax.com/link/JSd7UYCSg572jJDY, PostgreSQL, AWS and Azure, with AI embedded into how products are designed, built, operated and improved. We are hiring a Lead Product Engineer who leads through code. This is not a ceremonial leadership role, a coordination role or a management-only position. You will work closely with ...

• Hybrid
• Full-time

Tesco India • Bengaluru, Karnataka, India • Hybrid • Full-Time • Permanent • Working hours 45• Apply by 11-Sep-2026

• Full-time

... individual and team KPIs and regularly track performance. Conduct coaching, training, call audits, and performance reviews. Analyze sales funnel and conversion data to identify gaps and improve performance. Collaborate with Marketing to improve lead quality, allocation, and campaign performance. Coordinate with Operations ...

• On-site
• Full-time

... performance bonuses, and ESOPs Comprehensive health insurance Interested Send us your resume and a short note about the most technically challenging full-stack or data engineering problem you've solved . Subject: Lead Full Stack Engineer — [Your Name] Email: [HIDDEN TEXT] LeadSquared is an equal-opportunity employer committed ...

• Full-time

Big Data Full time

• Remote
• Hybrid
• Full-time

... deliver solutions Minimum 3+ years of experience in data engineering or related field Strong programming skills in Python and/or Scala/Java Experience with SQL and database technologies (PostgreSQL, MySQL, MongoDB) Hands-on experience with data processing frameworks: Apache Kafka for streaming data Knowledge of data warehouse ...

• Full-time

Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Workday Core Integrations ...

• On-site
• Full-time
• Contract

₹150 INR

... Synthesize requirements from business/product teams and translate them into system APIs, developer interfaces, and platform capabilities Work with architects and engineering leads to balance reliability, performance, technical debt, and new features Design solutions for data quality, governance, cataloging, and pipeline efficiency ...

• Full-time

Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Must have skills : Python ...

• Hybrid
• On-site
• Full-time

... release management, and working with CI/CD pipelines. Experience in performance tuning, debugging, and resolving production issues. Good understanding of SQL/NoSQL databases and cloud environments (AWS/Azure/GCP preferred). Experience in prompt engineering and using AI tools to enhance development workflows. Excellent leadership, ...

• Full-time

... business intelligence. Data Mining & Feature Engineering: Select key features, build and optimize classifiers using machine learning techniques, and perform data mining using state-of-the-art methods. Extend the company's data infrastructure with third-party sources of information and enhance data collection procedures ...

• Full-time

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks ...

• Hybrid
• Full-time

... credit risk and product leaders Contribute to research and outcome measurement deliverables for development finance and grant partners, with rigorous, audit-ready data outputs 3+ years in applied ML/data science with shipped, production models not just research - Deep expertise in at least one of: computer vision, NLP/ASR, or ...

• Full-time

Full time

• Full-time

Rs 1 - 10 lakhs p.a.

... experience in data engineering principles, data integration, transformation, and cloud-based data platforms, with the ability to build reliable and high-performing data solutions. You will work closely with data analysts, data scientists, software engineers, and business stakeholders to develop data pipelines, optimize data workflows, ...

• On-site
• Full-time

₹40 INR / year

... applying machine learning techniques to large datasets to generate actionable insights and integrate AI models into production. Analyze structured and unstructured data to identify patterns, build predictive models, and generate actionable business insights. Perform end-to-end data preprocessing, feature engineering, model development, ...

• Remote
• Hybrid
• Full-time

... Hazardous Gases compliance codes. - Thorough understanding of Cleanroom details and fabrication process coordination with all stakeholders. - Able to act as a design leader during the preliminary project phases to enable other engineering disciplines to be onboarded. Transition to a key support role and incorporate other discipline ...

• Full-time

... play a key role in building high-quality solutions across APIs, microservices, and integrations, while driving engineering excellence and best practices. As our Lead Engineer, you will be required to: - Design, code, and unit test platform and integration components - Develop frameworks for standardizing and enabling data ...

• Hybrid
• Full-time
• Part-time

... Project Ownership Manage multiple concurrent data initiatives across business units Define and track project scope, milestones, timelines, risks, and dependencies Lead delivery using Agile / Scrum or hybrid models Ensure coordination across data engineering, analytics, visualization, and business teams Proactively manage risks, ...