Top Data Engineer Jobs in Mumbai

The Senior Data Engineer will design and maintain scalable data platforms, build algorithms for data processing, and integrate new technologies into existing data structures. Collaboration with various teams is essential to achieve project goals, and the role includes managing ingestion platforms and creating custom data applications.

The Sr. Business Intelligence Engineer is responsible for building analytics solutions, optimizing data pipelines, collaborating on requirements, code optimization, and data governance.

The Senior Data Analytics Engineer will develop and maintain scalable data pipelines using Spark, Python, and Scala, primarily within Azure Databricks. Responsibilities include collaborating with global teams, designing data models, ensuring data quality and security, and mentoring junior team members. The role requires strong problem-solving skills and the ability to navigate complex data challenges, all while focusing on business needs and project delivery.

Lead the design and optimization of data architecture and pipelines, mentor team members, and ensure data-driven decision-making across the organization.

The Senior Data Engineer will design, implement, and maintain complex data architectures, pipelines, and database systems while mentoring junior engineers. Responsibilities include optimizing data integration solutions, ensuring data quality, collaborating with cross-functional teams, and leading technical initiatives to enhance data infrastructure.

The Senior Data Engineer will design and implement scalable data architectures, develop data pipelines and ETL processes, oversee database management, enforce data quality standards, and mentor junior engineers, collaborating with cross-functional teams to deliver high-quality software solutions.

As a Senior Staff Data Engineer, you'll develop systems for audience data estimation, design data pipelines, conduct architectural reviews, and mentor team members while ensuring project reliability and scalability.

Design and develop a cloud platform, work on data applications, enhance data processes, and ensure system reliability and security.