Top Data Engineer Jobs in Delhi

The Data Engineer will design and build scalable data pipelines using technologies like Microsoft Fabric, Databricks, and SQL while ensuring data quality and governance.

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

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

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 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.

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

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

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

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 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 Senior Data Engineer will design, build, and maintain scalable data processing systems, optimizing data pipelines, and collaborating on data architecture.

The Senior Data Engineer will focus on designing ETL processes, building and optimizing data pipelines, improving data quality, and collaborating with cross-functional teams on data solutions.

The role involves managing large-scale unstructured data for ML systems, contributing to the entire product lifecycle, and building reliable system software.

Seeking a freelance technical writer for data infrastructure and engineering workflows. Responsibilities include translating complex concepts into digestible content and collaborating with SMEs for accurate communication.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

As a Senior Data Engineer, you'll automate data workflows, troubleshoot complex data pipeline issues, optimize performance, and mentor junior engineers.

Design and build data infrastructure, develop data pipelines, optimize queries, and collaborate with stakeholders to create accessible data models.

The Principal Developer will lead the design, development, and maintenance of application and data integrations using various tools, ensuring high-quality solutions and collaboration across teams.

Drive the development of an embedded AI CoPilot by designing scalable data pipelines and optimizing multi-agent workflows for cloud network security solutions.