Top Data Engineer Jobs in Hyderabad

As a Data Engineer at Komodo Health, you will design and implement robust data pipelines to transform large datasets into meaningful insights. You will collaborate with various teams to understand complex health data use cases and contribute to the scalability of data systems, ensuring high performance and maintainability.

The Associate Big Data Engineer will support the development and deployment of data ingestion processes and ETL code using advanced big data tools. Responsibilities include collaborating with cross-functional teams, optimizing data frameworks, ensuring data security, and operationalizing machine learning solutions under guidance from senior team members.

As a Senior Data Engineer, you will design and develop data pipelines, work with various big data technologies, implement scheduling tools, and manage version control. You will be responsible for debugging and collaborating with the development team to streamline processes in a fast-paced banking environment.

Design and implement data solutions primarily focusing on BigQuery, utilizing GCP services like Dataflow and Cloud Composer. Oversee data engineering projects from inception to deployment, manage ETL processes using Talend, and optimize data pipelines for high-volume operations. Collaborate with stakeholders to gather requirements and ensure data quality.

As a Data Engineer at FairMoney, you will design and maintain data ingestion and integration solutions, build data orchestration pipelines using Airflow, ensure data quality and reliability, and assist business stakeholders in understanding and leveraging data for analytics and decision-making.

In this role, you will create and manage advanced reporting infrastructures and data pipelines to support Waymo's commercialization. Collaborating with multiple departments, you will enhance data sets and promote a self-service data function to improve data literacy across the organization.

The Data Engineer II will design and implement scalable data architectures, ensuring data security and integrity, while developing innovative data products to enhance business performance. Responsibilities include optimizing data workflows with AWS and Snowflake, collaborating cross-functionally, and managing large-scale data projects.

The Specialist Digital Data Engineer at Sanofi will lead the development and optimization of data engineering solutions, establish technical designs, and manage junior engineers. Responsibilities include creating and maintaining data pipelines, validating solutions, and ensuring consistency from SAP to SAP HUB. The role involves collaboration with cross-functional teams and adherence to best practices in code management and automated testing.

The Data Engineer will engineer and orchestrate data flows and pipelines in a cloud environment, integrating data from various sources, designing and building data models, and collaborating with analysts and data scientists. They will write scalable code and adopt DevOps methodologies.

The Digital Data Engineer will develop and maintain data engineering solutions and pipelines, optimize ETL processes, collaborate with cross-functional teams using Agile methodology, and create automated tests for CI/CD pipelines while supporting production data objects.

As a Data Engineer at Opella, you'll design, develop, and maintain data infrastructure and pipelines, collaborating with data scientists and analysts to ensure data accessibility and accuracy. You'll implement ETL processes, manage data integration projects across major cloud platforms, and troubleshoot data workflows to ensure data quality and availability.

The Oracle FAW/FDI Data Engineer will design and optimize data pipelines, develop incremental data refresh processes, create semantic models, and collaborate with various teams to deliver data-driven solutions across Oracle Cloud ERP and related analytics platforms.

Join FairMoney as a Junior Data Engineer where you'll develop and maintain data pipelines for real-time data processing. Collaborate with data scientists, write efficient Python code, and utilize Kafka and Apache Flink or Spark to handle data ingestion and transformation tasks while ensuring data quality.

As a Data Migration Developer, you will engage with clients to understand their data requirements and deliver custom technology solutions. Responsibilities include designing data solutions, analyzing data landscapes, and leveraging SQL and other tools to drive insights. This role involves client interaction and requires mentorship as well as problem-solving skills.

The Data Engineer II will design, build, and maintain data pipelines, develop modern lake house platforms using AWS, and ensure the performance and reliability of data infrastructure. Responsibilities include mentoring junior engineers, collaborating in teams, and creating innovative solutions for technical challenges.

The Data Engineer will design, implement, and optimize data pipelines for data-driven initiatives, focusing on migrating legacy data to Azure DataBricks and Azure SQL. Key tasks include building data infrastructures and ensuring efficient data processing to support various application areas.

As a Data Engineer, you will create data-driven solutions for leading financial institutions by collaborating with internal teams and clients. You will handle data extraction, analysis, and integration using Demyst's proprietary Python library and AWS infrastructure. Responsibilities include designing scalable code, managing production releases, and supporting clients globally.