Top Data Engineer Jobs in Hyderabad

SailPoint seeks a Senior Data Engineer to design and implement robust data ingestion and processing systems. Responsibilities include developing scalable data pipelines, integrating diverse data sources, leveraging AWS services, and using tools like Apache Airflow for orchestration. Candidates should have extensive experience in data engineering and relevant technologies.

The Specialist Digital Data Engineer at Sanofi will develop and maintain data engineering solutions within SAP systems, manage and mentor junior engineers, and optimize data pipelines. The role involves cross-functional collaboration, adhering to best practices, and ensuring data consistency and quality for business applications.

As a Data Engineer, you will develop and enhance data warehousing functions, guide data pipeline optimization, and collaborate with data teams to meet management requirements. You'll utilize various data integration tools and ensure efficient data processing while communicating with stakeholders.

As a Data Engineer, you will develop and enhance data warehousing capabilities, manage Snowflake data warehouse, innovate data management solutions, analyze and enhance data pipelines, and collaborate with data management teams.

The Data Engineer will develop business requirements, manage incident and change management tickets, and maintain Data Quality Rules. Collaboration with cross-functional teams to ensure data accuracy and the documentation of data processes are also key responsibilities.

As a Senior Data Engineer, you'll join the Data Enablement team at JumpCloud, focusing on enhancing data capabilities, modernizing the Data Warehouse/Lakehouse, and developing an Event Based Architecture while engaging with various stakeholders to improve data practices.

The Data Engineer will design, develop, and implement data pipelines, perform data analysis, and ensure maintenance of database environments. Responsibilities include optimizing SQL queries, adhering to data modeling standards, and collaborating with teams to resolve issues in deliverables. Familiarity with cloud environments and ETL tools is required.

The Data Engineer will design and implement scalable data architectures, ensure data integrity and security, and leverage cloud technologies like AWS and Snowflake. Responsibilities include developing data products, managing large-scale projects, and collaborating with diverse teams to enhance data workflows and performance using AI models.

The Data Integration Engineer at Skillsoft will manage ETL processes, ensure data integrity, and support database administration. Key responsibilities include optimizing data workflows, transitioning to event-driven architectures, and implementing innovative data integration solutions while collaborating with cross-functional teams.

As a Data Engineer at Opella, you will design, develop, and maintain data infrastructure and pipelines, ensuring data accessibility, accuracy, and actionability. You'll collaborate with data scientists and analysts to deliver scalable data solutions and manage data integration projects across various cloud platforms while monitoring workflows for quality.

The Senior Data Engineer will design technical architecture, implement data pipelines, and optimize data models for analytics. Responsibilities include working with data analysts on machine learning inputs, establishing best practices, and mentoring junior members while contributing to the data platform’s mission of enabling company-wide analytics and experimentation.

As a Principal Statistical Modeler - Data Engineer, you will develop and utilize advanced tools for data querying, create standardized datasets, implement data quality checks, and collaborate with teams to support predictive modeling, while mentoring junior engineers.

The Senior Statistical Modeler - Data Engineer position focuses on developing and implementing statistical models and data engineering solutions to improve medication outcomes and contribute to scientific advancements. The role involves collaborating with diverse teams and leveraging statistical analysis to drive better results in healthcare.

The Process Data Engineer III will partner with scientists and IT to develop data engineering solutions, validate data using various tools in a Big Data environment, enhance data infrastructure, and provide technical leadership to junior members. Responsibilities include collaborating with teams to identify data sources and providing data solutions, while leading the implementation of new analytics tools to improve productivity.

The Process Data Engineer I collaborates with scientists and IT teams to develop data engineering solutions, mining, validating, and curating data from various sources, while applying data standards for integration and analysis across projects.

The role involves designing, developing, optimizing, and automating data pipelines to support business intelligence, data science, and reporting. The data engineer will collaborate with data scientists and ensure high-quality data availability for analytics, troubleshoot performance issues, and automate data ingestion processes.

The Data Engineer will design and develop robust data architecture and scalable ETL solutions, perform data analysis, provide technical leadership to junior developers, and collaborate with cross-functional teams to deliver high-quality data pipelines, while maintaining comprehensive documentation.