Top Data Engineer Jobs in Hyderabad

Lead development of scalable data infrastructure, support and mentor data engineers, design and optimize data pipelines, and collaborate with product engineering teams.

Design, develop, and maintain data solutions. Create pipelines, ensure data quality, and implement ETL processes to manage data across systems.

Manage ETL processes and support delivery operations, ensuring client satisfaction through data conversions, automation tasks, and collaboration with teams.

The Senior Data Engineer will design and implement data ingestion processes, develop scalable data pipelines, and collaborate with teams to integrate data sources.

Responsible for designing and maintaining data pipelines, collaborating with data scientists for data processing and reporting, and optimizing data workflows.

The role involves developing and deploying advanced AI/ML models, optimizing workflows, collaborating with teams, and ensuring model effectiveness in real-world applications.

Develop and deploy AI/ML models, optimize fraud detection systems, and enhance content discovery workflows, collaborating with engineering teams.

The Data Engineer will lead data engineering teams, building and maintaining a Data Platform on Azure, managing data governance, and mentoring junior resources while executing projects end-to-end.

The role involves developing ETL processes, managing data systems, preparing data for analysis, and ensuring data quality in cloud environments.

Design and implement scalable ETLs to integrate data into Data Warehouse and Data Lake, support database environments, and collaborate with teams to resolve issues.

As a Data Engineer, you will design and manage data platforms, transform raw data into insights, and build data pipelines to support decision-making. You'll ensure data quality and lifecycle management while handling multiple projects and utilizing various database technologies.

As an Azure Data Engineer, you will build and maintain data platforms, develop data pipelines, manage data lakes, and ensure security and compliance.

Build infrastructure tools for trading, optimize data delivery, implement process improvements, ensure data monitoring and reporting, and write efficient code.

As a Data Engineer, you will create and maintain data pipelines, support data scientists, and design data solutions on cloud platforms.

The Snowflake Data Engineer will develop and manage large-scale data pipelines, collaborate with stakeholders, and optimize data engineering solutions using Snowflake.

As a Trainee Data Engineer, you will assist in building and maintaining data pipelines, work with various data formats, and learn database concepts under the mentorship of senior engineers.

The Data Engineer III will develop and maintain cloud-based data infrastructure, manage data architectures, optimize data pipelines, and ensure system reliability and security.

The CDP ETL & Database Engineer will build data pipelines, manage ETL processes, onboard clients, and improve data handling procedures while collaborating with teams.

The CDP ETL & Database Engineer will develop ETL processes, onboard clients, manage changes, and collaborate for process improvement in data management.

The Senior Data Engineer will develop cloud-based data tools, construct complex datasets, automate data processes, and support reporting needs.

The Data Engineer will design and maintain scalable ETL data pipelines using Python and GCP services, ensuring data quality and collaboration across teams.

The Senior Cloud Big Data Engineer will design and implement data management systems, develop ETL processes, and ensure data quality while collaborating with data scientists.

The Senior Data Engineer will design, implement, and optimize data solutions, working collaboratively to develop data pipelines and ensure infrastructure scalability.

Responsible for developing and maintaining data pipelines, ensuring application performance, and collaborating with business teams for data solutions.

Lead Data Engineers in building and maintaining the Data Platform, oversee data governance, and implement data processing solutions in Azure. Mentor juniors and collaborate with stakeholders to ensure high-quality deliverables.