Top Data Engineer Jobs in Delhi

The role involves leading data science initiatives, defining system architecture, mentoring team members, and overseeing project requirements and solutions. Strong programming and statistical knowledge are essential.

The Data Engineer will build solutions for large data volumes, work with data scientists, and develop machine learning models.

Seeking a Senior Data Engineer with expertise in cloud data platforms to develop and integrate end-to-end technical solutions, ensure performance and scalability, and document solutions thoroughly.

Lead the modeling of the Customer Data Platform, defining event taxonomy and ensuring reliable datasets for analytics, product insights, and machine learning. Collaborate with various teams to maintain data consistency and shape the architecture of the behavioral data platform.

The Senior Data Engineer will design and maintain pipelines for event data ingestion and validation, ensuring operational reliability and consistency for analytics.

The Data Migration Engineer executes technical builds and validations of data migration pipelines, ensuring accurate SQL processes and data integrity for client data migrations.

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.

As a Senior Developer, you will design and support application and data integration processes using Oracle and Dell Boomi, lead implementation projects, and collaborate on data migration requirements.

The Lead Data Engineer will design and build scalable data pipelines on Databricks, develop ETL/ELT pipelines with PySpark, and mentor engineering teams for data transformation and analytics.

Design and develop scalable data pipelines using PySpark and Databricks, focusing on data ingestion, transformation, validation, and performance optimization.

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.

The Data Platform Engineer will design and maintain data platforms, ensuring reliability and efficiency while collaborating with cross-functional teams to fulfill product and analytics needs.

This role involves preparing proposals, understanding client requirements, assisting in technical solution design, and supporting sales teams in AI/Data projects.

The Senior Data Engineer will design and build data pipelines on Azure Databricks, ensuring data security and governance while collaborating with clients and vendors on projects.

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 Senior Data Engineer will design and build scalable data platforms and pipelines, utilizing cloud technologies and leading data engineering practices. Responsibilities include maintaining ETL/ELT pipelines, collaborating with stakeholders, and ensuring data quality.