Top Data Engineer Jobs in Delhi

As a Data Engineer, you will design and maintain data infrastructure, build data pipelines, and collaborate on data requirements for analytics and reporting.

The Principal Data Engineer will design and implement data architecture and pipelines, ensure data quality and security, mentor the team, and collaborate with various squads to drive impactful data solutions.

The Data Engineer II designs and implements data pipelines, manages ETL processes, and optimizes SQL queries while mentoring junior engineers and ensuring data integrity.

As a Data Engineer I, you will design and develop data pipelines, optimize SQL queries, ensure data integrity, and collaborate with stakeholders to deliver data solutions.

The Data Engineer II designs, codes, and manages data pipelines, ensuring data quality and working with stakeholders to deliver effective data solutions, while mentoring junior engineers.

The Controls and Instrumentation Engineer will manage control systems design and implementation for data centre projects, ensuring compliance and quality assurance throughout construction and commissioning phases.

Design and optimize data models and pipelines within Snowflake for AI applications, ensuring data quality and efficient processing.

As a Junior Data Engineer, you'll design and optimize data pipelines, ensure data quality, collaborate with teams, and contribute to innovative data projects.

Develop and maintain data pipelines using Python and SQL. Use DBT for data transformation and work with data warehouses. Ensure compliance with data governance policies.

The Data Engineer designs, develops, and maintains data pipelines and infrastructure, ensuring data accuracy and accessibility while collaborating with data teams.

The Software Engineer will manage data collection for model training, operate the cloud infrastructure, and collaborate with the AI team on dataset roadmap development.

Design, build, and optimize data pipelines and architectures. Collaborate with teams to ensure data quality, performance, and governance.

As a Data Engineer, you'll build and monitor large-scale data pipelines, develop the DBT setup for data transformation and solve customer problems using your SQL skills.

The Data Engineer is responsible for designing and maintaining data pipelines, ensuring data quality, and integrating data for analysis using advanced technologies such as Snowflake and AWS.

The Senior Data Engineer is responsible for developing Python applications, optimizing data pipelines, integrating APIs, and collaborating with teams to deliver data solutions.

As a Senior Data Engineer, you will build and manage data pipelines, processing solutions, and analytical tools using Big Data technologies and AI-assisted coding.

Design and maintain data pipelines, optimize performance, collaborate with teams, ensure data quality, and implement governance best practices.

The Senior AI Data Engineer is responsible for designing and implementing AI solutions, managing databases, and collaborating with teams to integrate these solutions into the Teamified platform.

Design and develop AI data architecture and API, manage databases, collaborate for AI integration, and optimize models for performance.

Design and develop frameworks and core services for HighLevel's platform. Responsibilities include building cloud-native solutions and mentoring engineering teams.

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

The Associate Software Engineer will create and maintain data pipelines, build infrastructure for data extraction and transformation, and collaborate with stakeholders on data-related issues.

Develop and scale data management systems for AutoML and forecasting platforms, ensuring data reliability and implementing SLAs across pipelines.

The Senior Developer will design and implement custom data warehousing and BI solutions, translating business needs into technical specifications, and leading product implementations for clients.

The role involves building and scaling the Acceldata Open Data Platform, focusing on observability, coding, debugging, and collaborating with teams and the open-source community.