Top Data Engineer Jobs in Hyderabad

Design and deploy enterprise-grade solutions using AI frameworks, ensuring integration with data models and delivering high-quality applications that meet business objectives.

As a Data Platform Engineer, you will design and build complex data pipelines, ensure integration between data systems, and lead enterprise data architecture initiatives.

The Data Platform Engineer will design, develop, and deploy solutions using Generative and Agentic AI, ensuring integration and performance efficiency.

Design, develop, and deploy enterprise-grade AI-driven solutions using Generative and Agentic AI frameworks to improve business processes and outcomes.

The Data Platform Engineer designs and develops AI-driven solutions, ensuring cohesive integration of systems and alignment with business objectives.

The Data Platform Engineer designs and implements data solutions, focusing on AI-driven approaches to integrate and optimize enterprise systems.

The Data Platform Engineer will design, develop, and deploy enterprise solutions using Generative AI frameworks, ensuring system integration and data model alignment.

The Data Platform Engineer designs and implements data platform solutions, focusing on integration with AI frameworks to drive business transformation.

The role involves designing and deploying enterprise-grade solutions using Generative and Agentic AI, while ensuring scalability and integration with business objectives.

The Data Platform Engineer designs and develops AI-driven solutions for business transformation, ensuring integration between systems and meeting business goals.

The Staff Data Architect will define data architecture standards, collaborate across teams to create scalable data solutions, and govern data quality and compliance at Gap Inc.

Design and maintain scalable data pipelines using Python and Apache Spark; optimize jobs and ensure compliance with governance standards in a GCP environment.

The Senior Data Engineer leads the development of the IQEQ Data Platform, optimizing data pipelines and collaborating across teams to drive the Group Data Strategy and Data Transformation Journey.

The Sr Data Analyst will build and optimize cloud data pipelines, create data models, develop ETL processes, design Power BI dashboards, and collaborate with various teams to enhance data solutions.

The Data Engineer III will build and maintain data pipelines, optimize data flow, and support data analysts to enhance insights and operational efficiency.

Design and implement critical processes for a subscription billing system while collaborating with cross-functional teams. Requires expert SQL skills and familiarity with various databases and DevOps methodologies.

The Senior Data Engineer will develop data solutions and optimize data processes, collaborating with teams to enhance data management and analytics capabilities for stakeholders.

The role involves developing software solutions for health and environmental impacts, collaborating on cloud technologies, managing data pipelines, and leading engineering projects.

The role involves managing data pipelines and platforms, ensuring data reliability, collaborating with AI teams, and leading a small team to deliver high-quality data solutions.

Design, build, test, and implement data products for finance (P&C insurance) use cases. Translate business data stories into technical requirements, perform data analysis and profiling, and deliver solutions using DBT, Snowflake, SQL, Python/PySpark, shell scripting, and Power BI within agile teams.

The Data Migration Developer will analyze client data needs, design and develop custom solutions, and deliver technology solutions across various industries. Responsibilities include data analysis, collaborating with stakeholders, and ensuring data governance compliance while working in a fast-paced environment.

The Senior Data Engineer will design and build data infrastructure and pipelines, enhance AI capabilities, and collaborate with teams on data solutions while mentoring junior engineers.

Design, build, test, deploy and maintain Python-based data engineering solutions and real-time pipelines for S&P index products. Collaborate on architecture, APIs, performance optimization, code reviews, and mentor team members.

The role involves overseeing clinical data standards, supporting project teams, ensuring compliance with regulatory standards, and developing global clinical standards. It requires collaboration with various stakeholders and expertise in industry regulations and standards.

The Senior Data Engineer will create data visualizations, support clinical teams, ensure compliance, and assist in various analytics tasks to enhance decision-making in clinical trials.