Top Data Engineer Jobs in Delhi

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

The Senior Data Engineer will develop and maintain data pipelines, manage ingestion, and enforce data quality while collaborating with architects and stakeholders in a healthcare context.

The Senior Data Engineer will develop data pipelines for healthcare data, ensuring quality and reliability. Responsibilities include data ingestion, transformation, and collaboration with stakeholders.

The Data Migration Engineer is responsible for data analysis, migration script writing, execution, and documentation of data migration from legacy systems to Mitratech products, working with various stakeholders to ensure smooth transitions.

Design, develop, and maintain high-performance Python applications and scalable ETL/data pipelines. Write optimized SQL, integrate APIs and web scraping, use AWS, and produce visualizations with Power BI/Tableau while ensuring code quality and collaborating cross-functionally.

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.

Design and deploy scalable database solutions, migrate services to Kubernetes, and manage high-availability infrastructure for Telnyx's cloud platform.

The Principal Engineer, Data Science role involves leading projects in predictive modeling, optimization, and data solutions deployment. Responsibilities include translating client use cases into technical designs, guiding project architecture, and collaborating with cross-functional teams.

This role involves overseeing data science projects, leveraging predictive modeling and machine learning to develop client solutions, and collaborating with teams on technical designs.

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.

Provide 24/7 support for OpenTable's global data platforms, focusing on database operations, maintaining high availability, backups, and performance optimization.

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

The role involves designing, developing, and maintaining large scale data engineering solutions while collaborating with stakeholders on data governance and analytics.

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 Staff Data Engineer, you will architect and develop data ingestion and warehousing solutions, collaborating across teams to drive data-driven decision-making.

As a Lead Engineer, you'll design and develop frameworks and services for HighLevel's platform, optimizing large-scale database clusters and ensuring performance and security across multiple environments.

Design and develop large-scale database systems, optimize performance, and implement automation for managed database services. Collaborate across teams to enhance data access and ensure governance for security and compliance.

Seeking a Senior Data Engineer to design and optimize data pipelines. Required skills include Python, Azure Cloud, and Apache Spark. Experience in Agile methodologies is needed.

As a Senior Data & Analytics Engineer, you will design and build data infrastructure, develop data pipelines, and enable self-service analytics, collaborating with stakeholders to create scalable and reliable data solutions.

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

The Data Solutions Engineer III leads complex customer data integration projects, utilizing SQL, ETL, and database expertise. Responsibilities include assessing customer needs, managing multiple projects, mentoring junior members, and driving process improvements.

As a Senior Data Engineer, you will manage the ETL lifecycle, build batch pipelines, transform data using SQL and Python, and ensure data quality and performance for analytics.

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.

The role involves leading data science initiatives, mentoring team members, deploying models, and ensuring high-quality technical solutions. Responsibilities include coding, architecture design, and client requirement translation.

The role involves overseeing data science projects, mentoring team members, and developing solutions using machine learning and data technologies, while ensuring alignment with client requirements.