Top Data Engineer Jobs in Chennai

Manage the engineering of data pipelines, integrate diverse data sources, ensure data quality, and collaborate with teams for machine learning applications.

As a Business Intelligence Data Engineer, you'll develop scalable data architectures and models, manage data pipelines, and enhance analytics using AI tools.

The Data Engineer develops scalable data products for regulatory compliance and decision-making, focusing on data architecture and business outcomes.

The Data Engineer role involves developing analytics models, data cleaning, collaborating with teams, and improving data quality to support market analysis and pricing strategies.

Lead technical projects within the data engineering team, architect systems, mentor junior engineers, and drive performance optimizations in a high-volume, cybersecurity-focused environment.

As a Data Engineer, you will develop data pipelines, work with business stakeholders on data extraction, consolidate SQL databases, and create dashboards using Power BI. You will also ensure compliance with regulations and document data processing procedures.

The Senior Data Engineer will architect systems, manage complex projects, mentor engineers, and enhance data engineering practices within the organization.

As a Data Engineer, you will design and implement scalable data pipelines using the ELK Stack, develop data processing workflows, and collaborate with cross-functional teams to ensure data integration and visualization needs are met.

The role involves developing and testing data products, transforming raw data for analysis, collaborating on technical projects, and managing software lifecycle tasks.

Design, implement, and maintain data pipelines using Elasticsearch and data warehousing solutions, integrate data sources, and ensure data accuracy while collaborating with cross-functional teams.

As a Data Engineer III, you will design, develop, and maintain data infrastructure and pipelines, ensuring the smooth flow of high-quality data. Responsibilities include collaborating with teams to optimize workflows, monitoring data pipelines, and implementing governance measures.

As a Senior Lead Clinical Data Science Programmer, you'll lead data programming activities, develop data pipelines, ensure data integrity, and leverage statistical analysis for clinical trials.

Develop and maintain data sources, migrate Hive tables to Unity Catalog, collaborate with IT for data validation, and implement data quality systems and dashboards for airport performance insights.

The Data Engineer/Cloud Architect will design, build, and maintain scalable data infrastructure and pipelines, integrate operational data with business intelligence, and ensure data quality and governance in a collaborative environment.

The role involves designing and building advanced cloud-based data solutions using Azure technologies, participating in system integration projects, and leveraging Python and SQL for application development and data warehousing.

Design, develop, and maintain data infrastructure and pipelines, ensuring data integrity and collaboration with teams for analysis and reporting.

The Data Engineer at Ensono develops and optimizes data pipelines, ensuring high-quality data for AI/ML applications while collaborating with various teams to support business outcomes.

The Azure Data Engineer Lead Consultant will oversee a data engineering team, ensuring best practices, project delivery, and providing technical guidance in data solutions.

As a GCP Data Engineer Lead Consultant, you will design and implement data solutions on GCP, optimize performance, and mentor junior engineers while collaborating with cross-functional teams.

The role involves data modeling, troubleshooting complex issues, optimizing storage architectures and mentoring junior engineers while working with GCP and Python.

The Azure Data Engineer will provide technical expertise and direction, support project management, design data solutions, ensure quality standards, and maintain compliance with security regulations in a cloud environment.

Lead the design and development of complex backend systems, focusing on architecture and implementation while mentoring engineers and integrating AI solutions.

The Data Engineer will lead the creation and maintenance of the company's data infrastructure, build reporting capabilities, and develop data-driven automation pipelines.

The Associate Software Engineer will create and maintain data pipelines, build infrastructure for data extraction and transformation, and collaborate with stakeholders on data-related issues.

As an AI ML Data Engineer, you will develop RAG pipelines, fine-tune LLM applications, and collaborate on machine learning models and frameworks.