Top Data Engineer Jobs in Delhi

Lead implementation of Salesforce Data Cloud and manage data integration across systems, ensuring compliance and optimizing data pipelines.

As a Staff Engineer, you will build scalable data systems and analytics frameworks, ensuring high standards of customer success while leveraging open source technologies.

As a Staff Engineer, you will build scalable data systems, manage data infrastructure, and enhance security insights through analytics and collaboration with teams.

The Sr. Azure Data Engineer will develop and enhance Databricks pipelines, ensure data quality, and model healthcare data for analytics, collaborating closely with business stakeholders.

The Senior Data Engineer will design and optimize cloud-native data infrastructures, develop data pipelines for AI applications, and mentor team members.

The Backend Engineer will build APIs, integrate with third-party systems, and develop financial products while maintaining scalable data architectures, focusing on backend software and technologies.

Responsible for guiding teams in utilizing technology effectively, mentoring colleagues and devising advanced solutions to meet client challenges.

As a Senior Engineer in Data Analytics, you'll work on challenging problems using cutting-edge technology alongside talented colleagues to drive innovative solutions.

The Principal Engineer, Data Science role involves leading data science projects and providing strategic insights using extensive IT experience.

The Senior Staff Engineer, Data Science role involves guiding team direction, solving complex challenges for clients, and leveraging technical expertise to innovate solutions.

Design and maintain scalable data pipelines, integrate and optimize data workflows, ensure data quality, and support advanced analytics initiatives.

Design and execute automated testing processes for data pipelines using Azure Databricks and Azure Data Factory, focusing on ETL validation and quality assurance while collaborating with development 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.

The Senior DevOps Engineer will build and maintain backend infrastructure for AI data pipelines, support model training and production, and develop monitoring systems.

The Lead Data Engineer will design, develop, and maintain data pipelines and data warehouse infrastructure, ensuring data accuracy and collaboration with data teams.

As a Product Engineer, you will ensure quality and usability of geospatial AI tools, design test plans, validate software, and document technical processes.

Join Miratech as a Junior Python Engineer to develop applications and data pipelines with SQL expertise, focusing on AI and ML solutions.

Lead the design and implementation of scalable data engineering solutions on Azure, optimizing performance and mentoring teams. Ensure data quality and security while delivering analytics-ready datasets through collaboration.

The Senior Data Engineer will design and develop ETL pipelines and data products for financial systems, ensuring data quality and collaboration with finance stakeholders.

Design and maintain SQL-based solutions, optimize ETL workflows using SSIS, and translate business requirements into SQL queries.

The role involves building a centralized data lake on GCP, developing SPARK-powered data pipelines, ensuring data quality, and collaborating with cross-functional teams for advanced analytics and data models.

The Data Engineer will design and maintain data pipelines, support APIs, ensure data quality, and collaborate with teams on data-driven solutions.

Lead the analysis and design of data solutions, manage delivery, mentor a team, and engage stakeholders, utilizing SQL and Power BI.

Responsible for designing and developing integration processes and custom data solutions using various integration tools and cloud platforms while collaborating with cross-functional teams.

As a Sr. Big Data Engineer, you will tackle customer big data challenges using Databricks, guide strategic projects, and support client system integrations.