Top Data Engineer Jobs in Chennai

The Data Engineer will design and implement data solutions using SQL, Power BI, and Azure tools, ensuring data integrity and providing insights through BI solutions.

The Data Engineer will create data pipelines, optimize data delivery, support cross-functional teams, and develop analytics tools for business insights.

The Data Engineer 3 is responsible for designing and implementing data structures and pipelines. They ensure data quality, develop ingestion frameworks, maintain information systems, and manage data migrations. Collaboration with stakeholders is key to resolving business data operations and achieving compliance with data privacy regulations. The role involves independent judgment in technical matters and requires 5-7 years of experience in data engineering.

The role involves managing BI tools, developing ETL pipelines, creating documentation, training team members, and ensuring compliance with standards.

Responsible for designing and overseeing data architecture and solutions, ensuring data quality, and creating data structures and pipelines to manage structured and unstructured data efficiently.

The Data Engineer will design and oversee technology architecture for managing structured and unstructured data, ensuring quality and optimizing data processes. They will develop data pipelines, maintain databases, and collaborate with teams to improve data solutions and standards.

Design, build, and operationalize large-scale data solutions using Google Cloud Platform. Optimize data pipelines and perform data transformation and ingestion tasks using various technologies.

The Data Engineer 2 is responsible for designing and overseeing data architecture and solutions. This role involves the development of data structures, ensuring data quality, creating ingestion frameworks, and maintaining information systems. Additionally, they will work with technology partners on data sourcing and optimization, manage data migrations, and uphold data sensitivity and privacy standards.

The Senior Data Engineer will design and implement ELT processes, develop scalable data pipelines, and collaborate on data integration using AWS services. The role requires 5+ years experience, particularly in data engineering environments.

The Data Engineer will manage and transform data using Snowflake, handle semi-structured data, and develop ETL processes while ensuring data accuracy and warehousing principles.

The Senior Data Engineer will design data architectures, build scalable pipelines, and work with data teams to empower decision-making with company-wide analytics.

Designs, builds, and oversees technology architecture for data management, ensuring quality during data processing, storage, and accessibility while collaborating with teams for optimization.

Design and implement large-scale data solutions on Google Cloud Platform, optimizing data pipelines and managing analytics operations.

The Data Engineer will design and maintain data architectures and pipelines, automate processes, and collaborate across teams to optimize data usage and operations.

The role involves building and managing custom databases, designing ELT pipelines, overseeing data architectures, and collaborating with stakeholders for data solutions.

The Data Engineer will develop scalable data pipelines, collaborate with business stakeholders, create data models, and address complex business challenges using cloud technologies.

The Data Engineer 1 role involves designing, building, and overseeing technology architecture and solutions for managing data from various sources, ensuring quality and optimal processing, and collaborating with teams to maintain data integrity and access systems.