Top Data Engineer Jobs in Chennai

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

The Senior Data Engineer designs and maintains data ingestion and transformation pipelines, ensuring data quality and performance for analytics and BI.

Responsible for the design, development, and maintenance of big data architecture, implementing data processing pipelines, optimizing search capabilities, and managing code quality and best practices.

The Senior Engineer Data is responsible for designing, developing, and maintaining scalable ETL/ELT data pipelines and cloud-native data platforms while ensuring data quality and governance.

The Senior Data Engineer will develop and implement end-to-end technical solutions, ensuring performance and data integration across various cloud data platforms while collaborating with clients and creating documentation.

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 Principal Engineer for Data Infrastructure, you'll oversee our databases and data warehousing, optimize performance, and lead technology integrations to enhance data processing capabilities.

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.

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.

Design and optimize scalable data platforms using Microsoft Fabric and Databricks; create data pipelines and models for enterprise analytics while collaborating with data science teams.

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 Staff Data Engineer will architect enterprise data solutions, mentor teams, and lead initiatives impacting the cybersecurity platform's goals.

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 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.

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.

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.