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data engineer, specialist Jobs in Hyderabad

data engineer, specialist

cloud data engineer

<div>
 Requisition Id : 1637229
 
 
 Role:
 
 
 The Data Engineer, Specialist is responsible for designing, developing and maintaining scalable data pipelines and infrastructure to support analytics and business intelligence initiatives. This role involves building robust ETL (Extract, Transform, Load) processes, managing databases and optimizing cloud-based data platforms to ensure efficient and seamless integration of data from multiple sources.
 
 
 Roles &amp; Responsibilities:
 
 
 Develop and maintain scalable ETL (Extract, Transform, Load) processes to efficiently extract data from diverse sources, transform it as required and load it into data warehouses or analytical systems.
 
 
 Design and optimize database architectures and data pipelines to ensure high performance, availability and security while supporting structured and unstructured data.
 
 
 Integrate data from multiple sources, including APIs, third-party services and on-prem/cloud databases to create unified and consistent datasets for analytics and reporting.
 
 
 Collaborate with data scientists, analysts and business stakeholders to understand their data needs, develop data solutions and enable self-service analytics.
 
 
 Develop automated workflows and data processing scripts using Python, Spark, SQL, or other relevant technologies to streamline data ingestion and transformation.
 
 
 Optimize data storage and retrieval strategies in cloud-based data warehouses such as AWS Redshift, Google Big Query, or Azure Synapse, ensuring scalability and cost-efficiency.
 
 
 Maintain and improve data quality by implementing validation frameworks, anomaly detection mechanisms and data cleansing processes.
 
 
 Thoroughly tests code to ensure accuracy and alignment with its intended purpose. Reviews the final product with end users to confirm clarity and understanding, providing data analysis guidance as needed.
 
 
 Offers tool and data support to business users and team members, ensuring seamless functionality and accessibility.
 
 
 Conducts regression testing for new software releases, identifying issues and collaborating with vendors to resolve them and successfully deploy the software into production.
</div>

Data Engineer, Specialist

Novartis India

<div>
 
 Summary
 
 
 
 20 years of untapped data waiting to be explored. The digital revolution is changing everything, especially in pharmaceuticals, and Novartis has embraced a bold strategy to drive a company-wide digital transformation. With this mission, Data Operations group within BSI is working with the Novartis Business units and industry leading technology partners, to drive the execution of Novartis&rsquo; data strategy, turning its rich data resources into real strategic assets to drive actionable insights across the organization. This ambition is one of key pillars in the broader digital transformation happening at Novartis to be a &lsquo;medicines and data science company.
 
 
 We are looking for a skilled and enthusiastic Data Engineer with expertise in any of the ETL tools, Databricks, Snowflake SQL, and PySpark to join our innovative team.
 
 
 As a Data Engineer, you will be responsible for designing, implementing, and optimizing scalable data pipelines, ensuring data quality, and building robust data infrastructure.
 
 
 You will collaborate closely with data scientists, domain experts, and other stakeholders to ensure the efficient and reliable flow of data across the organization.
 
 
 
 About The Role
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 ETL Development: Design, implement, and maintain scalable ETL pipelines to extract, transform, and load data from various sources into data warehouses or data lakes.
 </li>
 <li>
 Databricks Utilization: Leverage Databricks to develop, optimize, and scale data engineering workflows.
 </li>
 <li>
 Data Modelling: Design and implement robust data models to support analytics and reporting needs.
 </li>
 <li>
 SQL Proficiency: Write, optimize, and maintain complex SQL queries for data extraction and transformation tasks.
 </li>
 <li>
 PySpark Development: Utilize PySpark for big data processing tasks, developing scalable and efficient solutions.
 </li>
 <li>
 Data Quality and Validation: Implement data quality checks and validation processes to ensure data accuracy and consistency.
 </li>
 <li>
 Data Integration: Integrate data from multiple sources, ensuring data consistency and reliability.
 </li>
 <li>
 Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
 </li>
 <li>
 Documentation: Create and maintain comprehensive documentation for data pipelines, data models, and related processes.
 </li>
 <li>
 Performance Optimization: Optimize data processing performance by fine-tuning ETL pipelines and data storage solutions.
 </li>
 <li>
 Security and Compliance: Ensure compliance with data governance policies and security protocols to protect sensitive and confidential information.
 </li>
 <li>
 Continuous Improvement: Stay current with industry trends and emerging technologies, continuously improving data engineering practices.
 
 
 </li>
 </ul>
 
 Education (minimum/desirable)
 
 
 
 Bachelor's or master&rsquo;s degree in computer science, Engineering, Information Systems, or a related field.
 
 
 
 Experience / Skills
 
 
 
 <ul>
 <li>
 8+ years&rsquo; experience in a Global company as a data steward, engineer, modeler or data scientist, with a strong focus on ETL tools, SQL, and PySpark.
 </li>
 <li>
 Business understanding of pharmaceutical industry and data standards. Domain experience in at least one of the following areas &ndash; a) Pharma R&amp;D, b) Manufacturing, Procurement and Supply Chain and c) Marketing and Sales. Experience in working in Pharma / Life Science industry strongly preferred
 </li>
 <li>
 Strong proficiency in SQL and experience with database management systems (e.g., PostgreSQL, MySQL, Oracle).
 </li>
 <li>
 Hands-on experience with Databricks for developing and optimizing data workloads.
 </li>
 <li>
 Proficiency in PySpark for big data processing tasks.
 </li>
 <li>
 Knowledge of data warehousing solutions (e.g. Snowflake).
 </li>
 <li>
 Experience of working with large codebase / repos using Git / Bitbucket
 </li>
 <li>
 Strong problem-solving skills and attention to detail.
 </li>
 <li>
 Excellent communication and collaboration skills with senior stakeholders
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and their data services (Databricks).
 </li>
 <li>
 Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
 </li>
 <li>
 Knowledge of real-time data processing and streaming technologies.
 </li>
 <li>
 Proficiency in data visualization tools (e.g., Tableau, Power BI).
 </li>
 <li>
 Experience with DevOps practices and tools for CI/CD pipelines.
 
 
 </li>
 </ul>
 
 Why consider Novartis?
 
 
 
 799 million. That&rsquo;s how many lives our products touched in 2019. And while we&rsquo;re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people&rsquo;s lives?
 
 
 We believe the answers are found when curious, courageous and collaborative people like you are brought together in an inspiring environment. Where you&rsquo;re given opportunities to explore the power of digital and data. Where you&rsquo;re empowered to risk failure by taking smart risks, and where you&rsquo;re surrounded by people who share your determination to tackle the world&rsquo;s toughest medical challenges.
 
 
 Imagine what you could do at Novartis!
 
 
 
 Commitment To Diversity &amp; Inclusion
 
 
 
 Novartis embraces diversity, equal opportunity and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.
 
 
 Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network
 
 
 
 Why Novartis:
 
 Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients&rsquo; lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
 
 
 
 Join our Novartis Network:
 
 Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network
 
 
 
 Benefits and Rewards:
 
 Read our handbook to learn about all the ways we&rsquo;ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards
</div>

Senior Manager - Data Solutions

Microsoft

<div>
 Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsoft&rsquo;s expanding Cloud Infrastructure and responsible for powering Microsoft&rsquo;s &ldquo;Intelligent Cloud&rdquo; mission. SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Teams, OneDrive, and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions. Our focus is on smart growth, high efficiency, and delivering a trusted experience to customers and partners worldwide and we are looking for passionate, high-energy engineers to help achieve that mission.
 
 
 The DPU team, within the Azure Hardware Systems &amp; Infrastructure group, brings together state-of-the-art software and hardware expertise to create a highly programmable and high-performance chip with the capability to efficiently handle large data volumes. Thanks to its integrated design, this solution empowers teams to operate with increased agility and deliver significantly superior performance compared to CPU-based alternatives.
 
 
 As a Senior Software Engineer in the DPU Operational Excellence team, you will be involved in designing, building, testing and deploying the tools and agents needed for operational readiness of control and data plane software that runs on DPU&rsquo;s custom-built silicon in a variety of new platforms targeted at Azure compute and networking use-cases. This would entail building a deep understanding of the DPU architecture and the systems built using the DPU, understanding the end-to-end customer workflows, and building the debugging skills required to troubleshoot field issues. You will be responsible for managing the field incidents, maintaining dashboards for active/dormant cases, tracking software/firmware releases, and the fixes being carried in each, and collaborating cross-functionally in the pursuit of case resolution. This is an opportunity to build, test, and support innovative products that will be deployed on a planet scale.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build, test and deploy innovative tools, and AI agents to reduce time to mitigate production issues.
 </li>
 <li>
 Acts as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions,
 </li>
 <li>
 Alerting stakeholders about status and initiating actions to restore system/product/service for simple and complex problems when appropriate.
 </li>
 <li>
 Guide and help debug field issues. Collaborate cross-functionally and drive debug sessions to arrive at root cause.
 </li>
 <li>
 Maintain dashboards of live/dormant cases and KPIs.
 </li>
 <li>
 Feedback learnings from field issues back into the engineering dev/test process.
 </li>
 <li>
 Embody our culture and values.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Required/Minimum Qualifications (RQs/MQs)
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science, or related technical discipline AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, SQL and / or Python
 </li>
 <li>
 OR equivalent experience
 </li>
 <li>
 5+ Years of previous experience in diagnosing and troubleshooting large scale cloud compute or networking platform features/products.
 
 
 </li>
 </ul>
 
 Additional or Preferred Qualifications (PQs)
 
 
 
 <ul>
 <li>
 Experience with Azure control plane, telemetry, monitoring, diagnostics, reporting infrastructure
 </li>
 <li>
 Experience with complex debug/troubleshooting in both lab and live site situations.
 </li>
 <li>
 Experience with dealing with large-scale data analysis to identify themes and root causes of issues
 </li>
 <li>
 Experience with AI agents to do live site tool automation and analysis
 
 
 </li>
 </ul>
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
 
 
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Senior Software Engineer

<div>
 The Microsoft CoreAI Post-Training team is dedicated to advancing post-training methods for both OpenAI and open-source models. Their work encompasses continual pre-training, large-scale deep reinforcement learning running on extensive GPU resources, and significant efforts to curate and synthesize training data. In addition, the team employs various fine-tuning approaches to support both research and product development.
 
 
 The team also develops advanced AI technologies that integrate language and multi-modality for a range of Microsoft products. The team is particularly active in developing code-specific models, including those used in Github Copilot and Visual Studio Code, such as code completion model and the software engineering (SWE) agent models. The team has also produced publications as by-products, including work such as LoRA, DeBerTa, Oscar, Rho-1, Florence, and the open-source Phi models.
 
 
 We are looking for a Software Engineer 2 - Machine Learning with significant experience in large-scale model training, data curation, and hands-on coding. You will help in developing LLMs, SLMs, multimodal, and coding models using both proprietary and open-source frameworks. Key responsibilities include improving model quality and training efficiency through advanced techniques and data strategies, and managing the full pipeline from data ingestion, evaluation, to inference.
 
 
 Our team values startup-style efficiency and practical problem-solving. We are seeking a curious, adaptable problem-solver who thrives on continuous learning, embraces changing priorities, and is motivated by creating meaningful impact. Candidates must be self-driven, able to write high-quality code and debug complex systems, document their work clearly, and demonstrate solid experience in shipping ML systems.
 
 
 
 Responsibilities
 
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate with senior engineers and researchers to build and optimize training and inference pipelines for LLMs, SLMs, multimodal, and code-specific models.
 </li>
 <li>
 Contribute to the deployment and monitoring of models in production environments.
 </li>
 <li>
 Write clean, efficient, and maintainable code for ML systems.
 </li>
 <li>
 Help improve inference performance, reliability, and scalability.
 </li>
 <li>
 Participate in rapid experimentation cycles and support integration with Microsoft products.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in computer science, Engineering, or a related field, or equivalent practical experience.
 </li>
 <li>
 3+ years of professional experience, including 2+ years with Python and ML frameworks such as PyTorch or TensorFlow.
 </li>
 <li>
 Hands-on experience with training or fine-tuning LLMs or multimodal models.
 </li>
 <li>
 Familiarity with production ML systems and concepts like model serving, caching, batching, and monitoring.
 </li>
 <li>
 Understanding of distributed systems and cloud-based infrastructure.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with containerization tools (e.g., Docker, Kubernetes).
 </li>
 <li>
 Exposure to MLOps or DevOps practices (CI/CD, automated testing, deployment).
 </li>
 <li>
 Interest in generative AI and open-source model ecosystems.
 </li>
 <li>
 Ability to work in a fast-paced, collaborative environment with a growth mindset.
 </li>
 <li>
 Strong communication and documentation skills.
 
 
 </li>
 </ul>
 #aip #aiplatform #aipidc
 
 
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Software Engineer 2 – Machine Learning

<div>
 
 Be the voice behind the future&mdash;join us to build transformative speech technology for multilingual, intelligent experiences that reach billions.
 
 
 
 Microsoft is pioneering next-generation AI-driven speech solutions for voice agents, video translation, and call centre analytics.
 
 
 As a
 
 Senior Software Engineer
 
 in Microsoft&rsquo;s
 
 Azure Speech team
 
 , you will develop advanced customization infrastructure and data processing tools to finetune multilingual speech models, AOAI models, and multimodal generative AI powering real-time transcription, intelligent voice agents, and multilingual dubbing across Microsoft products and enterprise solutions. Your work will impact millions&mdash;enabling next-generation human&ndash;machine experiences for diverse markets, with a special focus on India.
 
 
 In this strategic role, you will have significant ownership on technical direction and drive innovation in scaling data processing, engineering efficiency and ease of AOAI customisation, and generative AI. You&rsquo;ll collaborate with top engineers and scientist and deliver breakthrough technologies for applications in voice agents, video translation, and call centre analytics.
 
 
 Based in
 
 Hyderabad
 
 , this on-site role offers opportunities to mentor, grow, and shape the future of multimodal interaction for Indian and global audiences.
 
 
 Microsoft&rsquo;s mission is to empower every person and organisation to achieve more. We embrace a growth mindset and encourage teams and leaders to bring their best.
 
 Join us to shape the future of speech and multimodal LLM technology.
 
 
 
 
 Responsibilities
 
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Deliver world-class and transformative engineering platforms for customizing Microsoft 1st party and 3rd party products and services.
 </li>
 <li>
 Set technical directions in model customization platforms and scalable data processing solutions for multilingual speech model, speech LLMs, and AOAI models.
 </li>
 <li>
 Build novel data solutions to synthesize complex speech scenarios and finetune models.
 </li>
 <li>
 Build data analysis metrics and solutions to understand the model results, identify gaps, and guide solutions.
 </li>
 <li>
 Collaborate with the global Microsoft team, drive innovative solutions for significant customer asks, and deliver sustained large impacts.
 </li>
 <li>
 Mentor and influence peers, sharing expertise and fostering a growth-oriented inclusive team culture.
 </li>
 <li>
 Contribute to patents and publications at top-tier conferences and represent the team&rsquo;s technical leadership within and outside Microsoft.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 BS/MS/PhD Degree in CS/EE or related fields with focus in machine learning, AI, or speech technologies.
 </li>
 <li>
 8+ years&rsquo; experience in software development skills with deep expertise in designing, building, and deploying large-scale, production-grade AI systems.
 </li>
 <li>
 Demonstration of excellent problem-solving skills and proven track record of delivering impactful results and high-quality solutions in complex engineering environments.
 </li>
 <li>
 Strong programming skills in Python, C++ or similar languages, with experience in large-scale data processing and distributed computing.
 </li>
 <li>
 Effective communication skills, both verbal and written.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with speech/audio processing, multilingual model development, or voice agent technologies.
 </li>
 <li>
 Familiarity with Azure, cloud-based AI platforms, or enterprise-scale deployment of speech solutions.
 </li>
 <li>
 Contributions to open-source projects, patents, or publications in top-tier conferences/journals.
 </li>
 <li>
 Demonstrated leadership in driving technical direction, influencing cross-functional teams, and mentoring peers.
 
 
 </li>
 </ul>
 
 Inclusivity &amp; Compliance
 
 
 
 <ul>
 <li>
 Commitment to fostering an inclusive, growth-oriented team culture.
 </li>
 <li>
 Adherence to Microsoft&rsquo;s EEO and diversity guidelines.
 
 
 </li>
 </ul>
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

<div>
 The AI Platform organization at Microsoft builds the end-to-end Azure AI stack/PaaS and is core to Azure&rsquo;s innovation and differentiation, as well as all of Microsoft&rsquo;s flagship products, from Office to Teams, to Xbox. We are the team building Azure OpenAI, Azure ML, Cognitive Services, and the global Azure AI infrastructure for running the largest AI workloads on the planet.
 
 
 Within AI Platform, the AI Foundry team enables data scientists and developers to quickly and easily build, train, deploy, manage, and consume machine learning model. Our AI Foundry OSS Model Customization Team is at the forefront of this mission, working on groundbreaking projects for customizing of OSS models. We collaborate closely with research institutions, industry leaders, and organizations worldwide to create innovative solutions that impact millions of users
 
 
 
 Responsibilities
 
 
 
 
 Responsibilities
 
 
 
 As a Software Engineer 2 in our team, you will:
 
 
 <ul>
 <li>
 Write clean and concise code with unit tests
 </li>
 <li>
 As a contributor in a customer-obsessed team, you will collaborate with data scientists and other developers on the team to create the necessary abstractions, infrastructure, interfaces and implement features to train, test, validate for machine learning algorithms including but not limited to data cleaning, model training, hyper parameter tuning at massive, distributed scale. You will also be working on scaling these features for big data using distributed systems. You will drive the incorporation of these customer-inspired innovations into our software. You will take holistic ownership of your features.
 </li>
 <li>
 Your responsibilities will include contributing to and/or backend stateful services written in C# hosted on Kubernetes clusters and Docker containers to provide meaningful features to the customers. You will also be working on improving Python SDK's existing features, designing new features, implementing them in our distributed, multi-component SDK, and owning the full lifecycle of the features including testing and release.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Qualifications:
 
 
 
 <ul>
 <li>
 4+ years of experience writing production code in building internet scale services and distributed systems.  Ability to debug, read code and work on a large and increasing codebase.
 </li>
 <li>
 Engineering knowledge of machine learning systems and data pipelines.
 </li>
 <li>
 Experience mentoring other developers, working partners and being a team player.
 </li>
 <li>
 Excellent communication and presentation skills
 
 
 </li>
 </ul>
 #AzureAIPlatform, #AzureAIFoundry,
 
 
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Software Engineer 2

Explore 171+ Cloud data engineer in Hyderabad this November. Find roles across top companies and apply now to boost your career.

171 cloud data engineer jobs IN Hyderabad

Data Engineer, Specialist

Senior Manager - Data Solutions

Senior Software Engineer

Software Engineer 2 – Machine Learning

Senior Software Engineer

Software Engineer 2

Software Engineer 2