Top Data Engineer Jobs in Mumbai

As a Middle AI Engineer/Data Scientist, you will develop AI solutions, improve chatbots, analyze data for NLP, and collaborate with clients and teams.

This role focuses on enhancing data engineering practices, developing data pipelines, and ensuring data quality within a maritime context.

Design, implement, and maintain data pipelines, ensure data quality, collaborate with stakeholders, and support PowerBI reporting development.

The Software Engineer will design and build a scalable data platform, develop data pipelines, and collaborate on new features within the data engineering team.

The Staff Engineer - Data Analysis will develop hybrid models using statistical learning and physics knowledge, perform simulations, and optimize various scenarios.

The Data Engineer will design and maintain data pipelines, optimize data warehousing, and ensure data quality and governance while collaborating with cross-functional teams.

The Software Engineer will architect and implement data warehouse solutions, focusing on data ingestion, API development, and scalable platforms.

Join an AI-driven research project as a Frontend Developer, designing and building user-friendly web applications using modern JavaScript frameworks and strong UI/UX principles.

The Data Engineer will design and build data pipelines, develop APIs, ensure data quality, and support cloud-based systems for analytics and machine learning.

As a Data Engineer at InfyStrat, you'll design and maintain data architecture, ensuring data accessibility and reliability while developing data pipelines. You'll collaborate with teams to create scalable data solutions for business intelligence.

The Data Platform Engineer will design and optimize data platforms for warehousing, analytics, and reporting while ensuring data quality and integration. Responsibilities include building data pipelines, collaborating with stakeholders, and mentoring junior engineers.

The Senior Data Engineer will design and implement data processing pipelines, manage ETL processes, and ensure data quality while collaborating with stakeholders to meet business needs.

As a Middle AI Engineer/Data Scientist, you will develop AI solutions, analyze text data for NLP and ML models, evaluate model performance, and collaborate with customers and cross-functional teams.

As a Senior Data Engineer, you will monitor jobs, troubleshoot issues, support stakeholders, and develop solutions using AWS technologies.

The Senior Data Engineer will develop, deploy, and maintain data products in a cloud environment, ensuring data quality and supporting analytics for internal stakeholders.

The Data Engineer will design, build, and maintain scalable data pipelines using Databricks, integrating data into systems and ensuring data quality and performance while collaborating with stakeholders.

As a Data Engineer, you'll build data infrastructure, manage ETL pipelines, ensure data quality, and collaborate with teams for analytics and reporting solutions.

The Data Automation Test Engineer will validate data migration and ETL processes while developing a QA framework, automation scripts, and collaborating with cross-functional teams.

The Forward Deployed Software Engineer will implement and optimize client deployments, troubleshoot issues, and develop integrations, serving as the primary technical contact for customers.

As a Senior Data Engineer at Udacity, you'll design and implement data solutions, work with various stakeholders, and enhance data pipeline integrity using cutting-edge technology.

Implement and maintain ELT processes, ensure data quality, collaborate with teams for data solutions, and support data-driven decisions.

The role involves overseeing the maintenance and build of data centres, coordinating with vendors, and ensuring compliance with operational standards.

The Senior Data Engineer will build and manage data pipelines, optimize data models in a lakehouse environment, and implement event-driven architectures while ensuring data quality and compliance.

The Data Science/Machine Learning Engineer will work with machine learning techniques, LLMs for NLP tasks, and data processing tools.

As a Data Reliability Engineer II, you will analyze and enhance data pipelines, write scripts in Python and SQL, and work with data visualization tools. You will also engage in on-call support and improve operational quality.