Top Data Engineer Jobs in Hyderabad

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.

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.

Develop and maintain web applications and handle data engineering tasks using Azure technologies and various programming languages.

As a Senior Data Engineer, you will support and enhance Azure-based Data & Analytics solutions, troubleshoot issues, and improve existing solutions while mentoring and developing your skills.

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 optimize large-scale data pipelines and workflows, ensuring data quality and collaborating with data scientists and engineers for insights and reporting.

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 and maintain data pipelines, optimize data warehousing, and ensure data quality and governance while collaborating with cross-functional teams.

As a Data Engineer at InfyStrat, you'll design and maintain data architecture, ensuring data accessibility and reliability while developing data pipelines. You'll collaborate with teams to create scalable data solutions for business intelligence.

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 will develop Databricks pipelines, ensure data quality, create new datasets, and support healthcare data integration efforts.

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 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.

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.

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

The Senior Software Analyst (Data Engineer) develops and manages data pipelines and cloud-based solutions using AWS, optimizing data accessibility and quality while ensuring security and collaboration across teams.

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

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

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.

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.

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