Top Data Engineer Jobs in Hyderabad

Responsible for building high-performance data infrastructure for autonomous AI agents, including data pipelines, knowledge graphs, and real-time data processing.

Seeking an Azure Data Engineer with 6-8 years of experience to optimize data solutions using Azure technologies, focusing on ETL pipelines and data modeling.

The Data Engineer is responsible for optimizing data architecture and pipelines, collaborating with teams to deliver data solutions, and building analytics tools for business insights.

The Data Engineer will design and maintain AI data pipelines, manage cloud data infrastructure, and ensure data quality for analytics and machine learning operations.

The Sr GCP Data Engineer will work with cloud technologies to engineer data solutions, requiring over 5 years of experience in the field.

The role involves designing and optimizing large-scale ML data pipelines, ensuring high-throughput data ingestion and processing, collaborating with teams on data workflows, and architecting GPU-based environments.

The Software Consultant (Data Engineer) will design ETL pipelines using Python and AWS, ensure software quality and security, and implement CI/CD practices.

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, you will build scalable ETL/ELT pipelines, optimize data structures, and develop impactful Power BI solutions for stakeholders.

The Looker Data Engineer will develop Looker data models, optimize reporting solutions, use Looker APIs, and work with SQL and cloud platforms.

The Senior Data Engineer will develop and manage data pipelines, ensure data quality, troubleshoot issues, and drive integration best practices within Azure and SQL environments.

The Data Engineer role involves designing and maintaining ETL pipelines, optimizing data storage solutions, collaborating with teams, and ensuring data accuracy and integrity.

This role involves preparing proposals, understanding client requirements, assisting in technical solution design, and supporting sales teams in AI/Data projects.

As a Data Engineer, you will design and implement big data technologies, manage data pipelines, and analyze data to facilitate informed decision-making.

The Senior Data Platform Engineer will implement and maintain data platform infrastructure, optimize Databricks environments, and provide technical guidance to data engineering teams.

The Software Engineer will manage data collection to support AI model training, operate cloud infrastructure, and collaborate with scientists on dataset roadmap.

The Senior Data Engineer - II will design data pipelines, optimize ETL workflows, manage databases, and support Power BI reporting for business decisions.

As a QA Automation Engineer, you'll design and maintain automated test frameworks for data workflows, validate data quality, and ensure reliability across ETL/ELT pipelines while collaborating with data teams.

Seeking a Senior Data Engineer with 6+ years of experience to design and optimize data pipelines for intelligent systems, utilizing modern data platforms and cloud services.

As a Senior Data Engineer, you'll design, develop, and maintain cloud data solutions, build data pipelines, ensure data quality, and collaborate with clients and teams.

The Backend Engineer II will build scalable backend services with Java, optimize database queries, and architect data pipelines, collaborating with teams to enhance product operations through data analysis and insights.

The Senior Data Engineer will build and optimize data pipelines in Azure Databricks, migrate existing pipelines from Azure Synapse, and design scalable data models to support a financial services client's data platform modernization.

The Salesforce Marketing Cloud Developer designs and implements marketing solutions, ensuring integration and automation while providing ongoing support and optimization of campaigns.

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.

Develop and scale data management systems for AutoML and forecasting platforms, ensuring data reliability and implementing SLAs across pipelines.