Top Data Engineer Jobs in Hyderabad

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.

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 focus on frontend event tracking and analytics reporting, manage data pipelines, and ensure data reliability and quality.

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.

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 data pipelines for Data Warehouses, utilizing AWS, GCP, and SQL, while ensuring data quality and implementing CI/CD best practices.

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.

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

The Data Engineer / Analytics Engineer will build scalable data models and pipelines using dbt and Snowflake while collaborating with stakeholders and engineers.

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.

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 maintain data infrastructure, build data pipelines, and collaborate on data requirements for analytics and reporting.

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

As a Senior Data Engineer, you will architect security data ecosystems by designing data lakehouse architectures, implementing real-time streaming pipelines, and enabling AI/ML features. You will manage data ingestion patterns and ensure system integrity through automation and observability.