Top Data Engineer Jobs in Hyderabad

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 manage data models and architecture, ensuring data security and compliance, while collaborating with teams to mitigate risks and improve security measures.

The Data Engineer will design, develop, and maintain data pipelines and warehouse solutions using VaultSpeed, focusing on data integration and governance.

The Data Engineer is responsible for developing orchestrated data pipelines using technologies like DBT and Airflow, ensuring data accuracy for business decision-making.

The Data Engineer will design, build, and maintain scalable data pipelines using Databricks, integrating data into systems and ensuring data quality and performance while collaborating with stakeholders.

As a Data Engineer, you'll build data infrastructure, manage ETL pipelines, ensure data quality, and collaborate with teams for analytics and reporting solutions.

The Sr. Azure Data Engineer will develop and enhance Databricks pipelines, ensure data quality, and model healthcare data for analytics, collaborating closely with business stakeholders.

The BigQuery Data Engineer will create analytical layers, data pipelines, and optimize SQL queries while working with BigQuery, GCS, and data modeling tools.

As a Data Engineer at Particle41, you will develop web applications, collaborate with teams, implement server-side logic, and ensure solution reliability through testing and debugging.

The role involves building and maintaining automated pipelines for data collection and cleaning from public sources, integrating scrapers with backend systems, and ensuring data accuracy and compliance with platform rules.

Lead the data engineering strategy at XO Health, overseeing a team, implementing scalable data solutions, and developing advanced analytics models for healthcare data optimization.

As a Data Engineer, you will design and maintain data infrastructure, build data pipelines, and collaborate on data requirements for analytics and reporting.

Design and optimize data models and pipelines within Snowflake for AI applications, ensuring data quality and efficient processing.

As a Junior Data Engineer, you'll design and optimize data pipelines, ensure data quality, collaborate with teams, and contribute to innovative data projects.

Develop and maintain data pipelines using Python and SQL. Use DBT for data transformation and work with data warehouses. Ensure compliance with data governance policies.

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.

Design and maintain data pipelines, optimize performance, collaborate with teams, ensure data quality, and implement governance best practices.

The Senior AI Data Engineer is responsible for designing and implementing AI solutions, managing databases, and collaborating with teams to integrate these solutions into the Teamified platform.

Design and develop AI data architecture and API, manage databases, collaborate for AI integration, and optimize models for performance.

Design and maintain scalable data pipelines and architectures, ensuring reliable data delivery and transformation while collaborating with analytics and engineering teams.

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

The Freelance Data Engineer will analyze data, design databases, manage data operations, and collaborate on data-driven projects to optimize data infrastructure.

The Software Engineer will design and maintain large-scale data pipelines, optimize workflows, and ensure data quality for Ads reporting and analytics.

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