Sciences Jobs in Hyderabad

Senior Data Scientist Data | Hyderabad, India | Full-Time About Salesforce We re Salesforce, the Customer Company, empowering businesses worldwide with AI, Data, and CRM. We believe business is a platform for change helping companies innovate, grow, and connect with customers in new ways. Join us to be a Trailblazer driving your career and impacting the future of business. Role Overview We re seeking an experienced Senior Data Scientist to lead development of advanced marketing attribution, causal inference, and uplift models that enhance marketing effectiveness and efficiency. You will design experiments, establish consistent measurement frameworks, and deliver impactful data-driven insights supporting marketing, customer engagement, and digital initiatives. You will own the full model lifecycle from ideation and prototyping to deployment and ongoing production monitoring ensuring rigor, scalability, and ethical application aligned with Salesforce s core value of Trust. Key Responsibilities Develop sophisticated statistical and machine learning models to optimize marketing investments (e.g., attribution, uplift, causal inference). Create algorithms for marketing spend optimization and ROI improvement across multiple channels. Lead full lifecycle model development: data exploration, design, testing, deployment, monitoring, and tuning. Design statistically sound experiments (A/B, multi-cell) to measure marketing and campaign impact. Collaborate cross-functionally with marketing, engineering, and analytics teams to operationalize measurement and experimentation frameworks. Stay updated on innovations in SaaS, AdTech, paid media, and analytics to continuously evolve modeling approaches. Advocate responsible and ethical use of data and models in line with company policies. Required Skills & Experience Master s or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields. 8+ years of hands-on experience designing marketing optimization models (multi-channel attribution, uplift, customer lifetime value, propensity). Extensive experience in experiment design and causal inference for business impact evaluation. Strong programming skills in Python, R, PySpark, Java. Expert-level SQL skills for large-scale data exploration and manipulation. Experience with cloud platforms like GCP or AWS for scalable model development and deployment preferred. Exceptional quantitative reasoning and ability to translate analysis into actionable business insights. Excellent communication skills, capable of collaborating across diverse teams. Creative problem-solving mindset with ability to simplify complex challenges. Experience with B2B customer data and Salesforce products is a plus. Work on high-impact projects using state-of-the-art AI and analytics technologies. Collaborate with top-tier data science and marketing experts. Thrive in an innovative, inclusive culture that values Trust and continuous learning. Drive real-world business transformation at a global scale. If you are passionate about marketing science and advanced analytics, and want to lead innovation in a fast-paced environment, we encourage you to apply! Qualification : Masters or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields.

Senior Data Scientist Location: Hyderabad, Telangana, India Employment Type: Full-Time Overview Microsoft Search powers delightful and relevant experiences for enterprise users, and AI-driven Copilots have turned futuristic visions into current-day reality. We are seeking candidates who can help build the next-generation machine learning systems to drive innovation in search ranking, clustering, recommendation systems, and much more. As a Senior Data Scientist in the team, you will work independently on complex problems, define success metrics, and contribute to design and review processes for machine learning/data pipelines across the team. If you're ready to tackle challenging data science problems and help shape the future of search, we want you on our team! Key Responsibilities End-to-End Ranking: Oversee the ranking of search results and contribute to enhancing search relevance. Large Language Models (LLMs): Work on developing and deploying large language models to improve search experience and AI-powered copilots. AI-powered Copilot Scenarios: Drive innovations in AI systems that enhance user productivity and engagement through Copilot capabilities. Compliance & Privacy: Develop machine learning training pipelines at scale that are privacy and compliance-aware. Personalization: Customize search results and recommend relevant content based on user preferences. Qualifications Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field AND 2+ years of data science experience OR Master s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field AND 5+ years of data science experience OR Bachelor s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years of data science experience. Experience working with both structured and unstructured data, applying statistical techniques, and reporting results. Hands-on experience with implementing and shipping production-quality machine learning models or data pipelines. 2+ years of customer-facing, project-delivery experience, professional services, and/or consulting experience. Strong programming skills in Python, R, or similar languages, and familiarity with machine learning libraries. Preferred Qualifications: Prior work or research experience in the Search domain is highly preferred. Familiarity with large-scale distributed systems, cloud platforms (such as Azure), and real-time machine learning applications. Experience with deep learning and large language models (LLMs). Familiarity with compliance and privacy in machine learning pipelines. Microsoft s mission is to empower every person and organization on the planet to achieve more. At Microsoft Search, you will be part of a team solving impactful problems for millions globally. Join us to drive cutting-edge advancements in AI and contribute to shaping the future of search and user experiences. Employee Benefits Industry-leading healthcare coverage Generous time off and family leave policies Access to educational resources and professional development Employee discounts on Microsoft products and services Opportunities for networking and global collaborations Inclusive and supportive work environment with a focus on work-life balance Microsoft is an equal opportunity employer. We are committed to creating a diverse and inclusive environment where every individual is treated with respect and can thrive. Join us to make a global impact through innovation, collaboration, and diversity.

Job Opening: Senior Manager, Testing Tools Lead Location: Hyderabad, India | Full-Time About the Role Join a global healthcare biopharma company in Hyderabad and be part of a 130-year legacy of success. Backed by ethical integrity and forward momentum, we are dedicated to achieving new milestones in global healthcare. Our organization thrives on digital technology and data-backed approaches, supporting a diversified portfolio of prescription medicines, vaccines, and animal health products. Help us tackle the world's greatest health threats through innovation, execution excellence, and data-driven insights! Our technology centers are crucial to supporting our business and strategy. Globally distributed, these centers focus on delivering business solutions and enabling our digital transformation journey. Each IT division is represented at these centers, and we prioritize growth, well-being, and collaboration across teams to achieve success. Role Overview The Senior Manager, Testing Tools Lead is responsible for overseeing the implementation, maintenance, and management of software testing tools within the Enterprise IT organization. This role requires technical expertise, project management skills, and strong communication abilities. You will act as the primary liaison with the central quality engineering team and drive improvements in software testing processes and tools. What You ll Do Identify and evaluate testing tools based on project needs and organizational requirements. Lead the implementation of new testing tools and integrate them with existing systems and processes. Collaborate with and mentor testers and QA engineers, providing guidance and expertise. Organize training sessions for team members to ensure proficiency with testing tools. Review current testing processes and tools, identifying areas for improvement. Ensure continuous improvement by reviewing and updating testing SOPs and best practices. Develop and implement best practices for testing methodologies and high-quality deliverables. Oversee training on tools and standards for testing. Work closely with development teams to understand testing requirements and align strategies. Ensure effective communication between testing teams and other departments for cohesive project delivery. Maintain testing tools to ensure they are up-to-date and functioning properly. Provide technical support and troubleshooting for testing tools. Establish metrics to measure the effectiveness of testing and tool performance. Prepare and present reports on testing progress, tool usage, and quality assurance outcomes. Collaborate with the COE Lead to standardize testing methodologies for SAP products and enterprise technologies. What You Need Bachelor s or Master s degree in Pharmaceutical Sciences, Biology, Chemistry, Computer Science, Engineering, or related field. 5+ years of experience in software testing with a focus on tools and automation. Proficiency in testing tools (e.g., Selenium, JIRA, QTP, LoadRunner) and scripting languages (e.g., Python, Java, JavaScript). Experience with automated testing frameworks and CI/CD pipelines. Strong project management skills with the ability to prioritize tasks and manage timelines effectively. Familiarity with agile methodologies and SDLC processes in the pharmaceutical industry. Ability to analyze complex problems and develop effective solutions. Excellent attention to detail and a proactive approach to identifying and resolving issues. Strong verbal and written communication skills to relay technical information to non-technical stakeholders. Strong interpersonal skills to lead and collaborate with diverse teams. Desired SAP Knowledge: understanding of SAP functionalities, modules, and integrations like Concur, Ariba, Fieldglass, and MDG. Experience with service virtualization techniques and always-on testing strategies. Certifications in QA, project management, or testing (e.g., ISTQB, CSM, PMP) are a plus. Join a global company that makes a difference in patients' lives and drives health innovations. Work on transformative healthcare solutions for some of the world s most challenging diseases. Be part of a constantly evolving team that thrives on collaboration and innovation. Work with a diverse group of professionals and contribute to global progress in healthcare. We are known as Merck & Co., Inc., Rahway, New Jersey, USA, in the United States and Canada, and MSD everywhere else. For over a century, we ve been inventing for life, advancing medicines and vaccines for the world s most challenging diseases. Today, we continue to lead research to deliver innovative health solutions for the prevention and treatment of diseases threatening people and animals around the world. What We Look For If you are intellectually curious and passionate about making a global impact, join us. Here, you can leverage your creativity, technical expertise, and scientific knowledge to help save and improve lives. Our team is always evolving, and we invite you to be part of this journey to bring hope to those battling the world's most challenging diseases. Qualification : Bachelors or Masters degree in Pharmaceutical Sciences, Biology, Chemistry, Computer Science, Engineering, or related field.

Job Opening: Process Knowledge Management Specialist Location: Hyderabad | Full-Time About the Role The Process Knowledge Management (PKM) Specialist will act as a subject matter expert for authoring and updating Emerson DeltaV PKM process templates, process recipes, and associated master data. The primary responsibility is to ensure that Process Recipes within DeltaV PKM are successfully and compliantly designed, developed, deployed, and supported to maximize business benefits, aligning with enterprise business process and technical standards. DeltaV PKM is a new capability being developed by Emerson. This role offers the opportunity to work closely with the Emerson development team, shaping the future direction of the product. Primary Responsibilities Support DeltaV PKM training, collaboration, benefit realization, and standardization while adhering to standard processes, cGMP regulations, SOPs, and global business processes. Identify and implement continuous process improvement opportunities to enhance system performance and user experience. Assist in defining and implementing an SDLC strategy that supports the flexible use of DeltaV PKM capabilities across the development spectrum. Sustain Process recipes and master data, combining knowledge of manufacturing processes with DeltaV PKM capabilities and standards. Execute appropriate change control and life-cycle actions to ensure that the DeltaV PKM system remains in a state of control and compliance. Collaborate with teams to troubleshoot and resolve user issues efficiently, ensuring quality decisions and regulatory compliance. Provide assurance on quality systems and regulatory standards, supporting development teams and their respective quality units in fostering quality decisions. Education Bachelor s Degree and at least 5+ years of relevant experience with life sciences systems or 7+ years of relevant experience in life sciences systems. Required Experience and Skills Proven track record of analytical skills, problem-solving abilities, and attention to detail. High personal integrity, credibility, and energy with the ability to work independently and in a team environment. Excellent communication and influencing skills while working with global stakeholders (North America). Strong written and verbal communication skills, with a minimum of five (5) years of experience in a production-regulated industry. Strong understanding of manufacturing principles and processes (preferably Biologics) and ability to translate manufacturing requirements into Automation/Digital Solutions. Preferred Experience and Skills Knowledge of SAP. Knowledge of Pharmaceutical Technology Transfer processes. Be part of a dynamic, innovative company shaping the future of Process Knowledge Management. Work with cutting-edge technology in a regulated industry, contributing to significant advancements in life sciences. Collaborate with a team of dedicated professionals who value integrity and quality in everything we do. Emerson is a leader in life sciences and process control technology. We are committed to developing innovative solutions that drive global success in the manufacturing of life-saving products. Our team s collective efforts help bring critical advancements to the world of healthcare. Qualification : Bachelors Degree and at least 5+ years of relevant experience with life sciences systems or 7+ years of relevant experience in life sciences systems.

Position: AI/ML Developer Company: Infor Location: Hyderabad, India Experience: 2-5 years Skills: AI/ML, Python, AWS, SQL Role Summary: As an AI/ML Developer at Infor, you will be at the forefront of creating and delivering state-of-the-art enterprise applications and automation solutions powered by Infor s AI, RPA, and OS platform technologies. Your primary mission will be to identify impactful AI/ML use cases, develop proof of concepts (PoCs), and deliver automation solutions that drive workforce productivity and enhance business outcomes for our clients. Key Responsibilities: Use Case Identification: Work closely with customers to understand their business challenges and identify opportunities for AI/ML solutions to address these needs. Data Insights: Perform exploratory data analysis on large, complex datasets to uncover key insights. Assess data quality and share findings that can inform decision-making. Data Preparation: Collect, clean, preprocess, and augment datasets for training and testing AI models, ensuring they are ready for AI tasks. Model Development: Design, train, and fine-tune AI/ML models, evaluating them against appropriate performance metrics and optimizing for maximum efficiency. Integration & Deployment: Partner with software engineers to integrate AI/ML models seamlessly into enterprise applications and systems. Address deployment challenges to ensure smooth production workflows. Continuous Improvement: Monitor the performance of deployed AI models, gather user feedback, and iterate to improve models, algorithms, and user experience. Proof of Concepts (PoCs): Develop PoCs to demonstrate the feasibility and effectiveness of AI/ML solutions, showcasing the potential of new technologies to clients. Collaboration: Work closely with development teams to explore and implement new use cases for AI and automation. Best Practices: Collaborate with your team to establish best practices and ensure high-quality development standards. Innovation: Contribute to the innovation of cloud-based enterprise automation solutions and the development of cutting-edge AI technologies. Key Requirements: Experience: Minimum 3 years of hands-on experience in implementing AI/ML models in enterprise environments. AI/ML Knowledge: Strong understanding of supervised and unsupervised learning, reinforcement learning, deep learning, and probabilistic models. Programming Skills: Proficiency in Python or R, with experience in SQL for querying databases. Data Handling: Expertise in working with large datasets, performing data preprocessing, and effectively managing data pipelines. Cloud Infrastructure: Experience with AWS Sagemaker or Azure ML is preferred for deploying machine learning solutions. Frameworks & Libraries: Familiarity with machine learning libraries like scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. Analytical Skills: Strong critical thinking and problem-solving abilities, with the capacity to design and run experiments to validate hypotheses. Business Process Understanding: Knowledge of business processes and how they can be automated through AI and ML. Domain Expertise: Experience or interest in areas like Demand Forecasting, Anomaly Detection, Pricing, Recommendations, or Analytics. Global Experience: Proven experience in working with global customers on diverse projects, understanding their needs, and delivering tailored solutions. Communication Skills: Excellent verbal and written communication skills, with the ability to clearly explain complex AI concepts to clients and team members. Collaboration & Independence: Ability to work both independently and as part of a team, collaborating with cross-functional teams to drive success. Educational Background: A Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field. Specialization: Coursework or expertise in AI, ML, Deep Learning, NLP/NLU, Computer Vision, or similar domains is highly desirable.

Job Title: Manager - Data Science Location: Hyderabad Department: Data Science Employment Type: Full-Time, Permanent Role Overview: As a Manager - Data Science at Blend, you won t just manage you'll lead by doing. This role demands strong hands-on expertise in Machine Learning (ML), Generative AI, Python, SQL, and any cloud environment (GCP, Azure, or AWS). You will stay deeply engaged in the technical side while mentoring and growing a high-performing team. You ll be responsible for leading end-to-end AI/ML project execution, collaborating with cross-functional teams, and driving innovation within Blend's Data Science practice. If you love solving complex problems, thrive in a fast-paced environment, and can translate business challenges into cutting-edge AI solutions, we d love to have you on board! Key Responsibilities: Delivery & Project Management: Lead the development and implementation of ML models, Generative AI solutions, and predictive analytics. Perform data mining, feature engineering, and statistical analysis to extract meaningful insights. Own project roadmaps, ensure quality control, and drive timely delivery of projects. Collaborate with Data Engineering teams to deploy and operationalize ML models. Automate and optimize workflows to enhance efficiency and streamline processes. Practice Development: Contribute to the scaling of Blend s Data Science practice by building new capabilities. Design industry-specific AI/ML solutions and contribute to thought leadership in AI/ML. Evaluate emerging AI trends and tools and integrate them into Blend s ecosystem. Lead innovation initiatives, research, and internal AI development. People & Leadership: Mentor and develop a high-performance data science team. Guide team members' career development and set performance benchmarks. Collaborate with cross-functional teams to ensure seamless execution of projects. Qualifications: Experience: 8+ years in Data Science & AI, with hands-on expertise in ML, Generative AI, Python, and SQL. Strong knowledge of ML algorithms (Classification, Regression, Forecasting, NLP, LLMs, Optimization, etc.). Proven experience in end-to-end ML deployment, including working with Azure, AWS, GCP, or Databricks. Industry Expertise: Demonstrated ability to solve complex business challenges in Retail, CPG, BFSI, Healthcare, or eCommerce. In-depth understanding of statistics, probability, stochastic processes, and causal inference. Excellent communication skills with the ability to explain AI concepts to non-technical stakeholders. Experience with big data tools such as Hadoop, Hive, PySpark, and ML pipelines. Bonus: Experience with Google Analytics, Adobe Analytics, or digital marketing analytics. Education: Bachelor s/Master s degree in Computer Science, Statistics, Math, Operations Research, or a related field. What You Get in Return: Competitive Salary: Your skills and contributions are highly valued, and we ensure your salary reflects your expertise and experience. Dynamic Career Growth: Our vibrant environment offers opportunities for rapid growth, providing the right tools, mentorship, and experiences to fast-track your career. Idea Tanks: Our Idea Tanks offer a space for you to pitch, experiment, and collaborate on ideas that can shape the future. Growth Chats: Engage in casual Growth Chats to learn from the best, whether it s over lunch or a laid-back session with peers. Snack Zone: Enjoy a variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards: Expect regular Hive-Fives, shoutouts, and the chance to see your ideas come to life as part of our reward program. Fuel Your Growth Journey with Certifications: We support your growth by covering the cost of certifications to level up your skills. If you're ready to lead cutting-edge AI projects and grow within a dynamic team, Blend is the place for you. Apply today to be part of an innovative and collaborative culture! Qualification : Bachelors/Masters degree inComputer Science, Statistics, Math, Operations Research, or a related field.

Tezo: Digital & AI Solutions Provider Tezo is a next-generation Digital & AI solutions provider with a history of creating remarkable outcomes for our customers. We deliver exceptional experiences through cutting-edge analytics, data proficiency, technology, and digital excellence. Job Title: Senior Data Scientist Generative AI Job Summary: Tezo is seeking passionate AI Engineers to harness the power of Generative AI and build cutting-edge solutions that transform enterprises. Join us in revolutionizing the business landscape by developing intelligent, generative AI models that drive real-world impact at scale. In this role, you will be an integral part of the Machine Learning Platforms/Data Science team, focusing on developing, testing, and deploying Generative AI models for enterprise use cases. You ll work closely with architects, developers, and product teams to deliver state-of-the-art AI solutions. What Makes Our AI/ML Practice Unique: Purpose-Driven: We actively respond to our customers' evolving needs with innovative solutions. Collaborative: We foster a positive and engaging work environment where collective ideas thrive. Accountable: We take ownership of our performance, both individually and as a team. Service Excellence: We maximize our potential through continuous learning and improvement. Trusted: We empower individuals to make informed decisions and take calculated risks. Core Responsibilities: Build production-grade Retrieval-Augmented Generation (RAG) solutions with advanced retrieval, re-ranking, and optimization techniques. Develop GenAI applications using LangChain, LlamaIndex, and Vector Stores, leveraging Large Language Models (LLMs). Fine-tune LLMs for specific business use cases (preferred). Design and implement end-to-end machine learning and NLP solutions, including data preprocessing, modeling, and deployment. Deploy ML solutions in production using cloud services such as Azure or AWS. Collaborate with business stakeholders to ensure alignment of AI solutions with organizational goals. Lead and mentor team members, promoting best practices in data science and AI/ML. Qualifications: Required: 4+ years of experience in developing end-to-end machine learning and NLP projects. Hands-on experience with Retrieval-Augmented Generation (RAG) and advanced RAG techniques. Proficiency in building GenAI applications using LangChain, LlamaIndex, and Vector Stores. Strong expertise in Python and SQL for data science projects. Experience deploying ML models in production environments on Azure or AWS. Strong business acumen, stakeholder management, and team-leading skills. Preferred: Experience fine-tuning Large Language Models (LLMs) for business use cases. Familiarity with cloud-native AI/ML services and scalable architecture. At Tezo, you ll be part of a dynamic, innovation-driven team committed to delivering cutting-edge AI solutions that drive real-world transformation. If you re ready to take on exciting challenges and work on impactful projects, we d love to hear from you!

About the Job Like Google's own ambitions, the role of a Software Engineering Manager goes beyond Search. This position combines technical leadership with team management to drive high-impact AI/ML projects while enabling engineers to deliver their best work. You ll manage project goals, product strategy, and team development, ensuring that both innovation and execution stay at the forefront. Google s engineering teams tackle challenges across AI, natural language processing, large-scale system design, distributed computing, security, and more. As a manager, you ll guide the team in exploring new technologies while building AI/ML solutions that scale for Google's IT and Support business, driving efficiencies at scale through automation. In Corp Eng, we deliver world-class business solutions for all Googlers. By combining AI, ML, and automation, we help improve processes, build impactful solutions, and empower teams to create more helpful products and services. Simply put: We are Google for Googlers. Responsibilities Lead a team of engineers, driving technical strategy and execution of key AI/ML projects, ensuring timely and high-quality delivery. Build applied ML products using the latest ML techniques and tools (e.g., TensorFlow, deep learning, natural language processing). Drive engineering projects and ML model development to enable agentic automation and deliver scalable solutions. Collaborate with leadership across functions to identify new opportunities, design solutions, and shape the vision for AI/ML in the IT and Support space. Minimum Qualifications Bachelor s degree in Computer Science, a related technical field, or equivalent practical experience. 8 years of experience in software development using one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow) or applied ML (e.g., deep learning, natural language processing). 3 years of technical leadership experience, including 2 years in people management or team supervision. Preferred Qualifications Master s degree or PhD in Engineering, Computer Science, or a related technical field. Strong knowledge of AI/ML algorithms, techniques, and tools. Excellent problem-solving, analytical, and communication skills.

Description Johnson & Johnson Innovative Medicine is recruiting a Data Science Solutions Manager. The primary location for this position is in India (Hyderabad/Bangalore). Innovative Medicine develops treatments that improve the health and lifestyles of people worldwide. Research and Development areas encompass Oncology, Cardiovascular, Immunology, Neuroscience, and Infectious diseases. Our ultimate goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market from patients to practitioners and from clinics to hospitals. In this role, you will: Partner closely with members of the Innovative Medicine R&D data science organization and other business stakeholders to lead a team to implement data science solutions and business intelligence products. You will be responsible for the delivery of engaging and innovative data products, intuitive solutions, analysis ready datasets, dashboards & insights, to make data more accessible and useful As the Data Science Solutions team, we are responsible for partnering directly with stakeholders to understand business needs and deliver products & education to increase data driven insights and decision making. Responsibilities: Recruit, develop and retain talent Provide direction, mentorship, and coaching to a team of data analysts and visualization specialists, fostering an environment of collaboration, innovation, and professional growth Build and maintain relationships with key stakeholders, ensuring that data products and solutions meet their needs while also advancing organizational goals. Apply the knowledge of pharmaceutical R&D processes to develop innovative solutions and products Ability to lead the team to develop and implement high quality data products, analysis ready data sets and apply human centered design to turn data into insights Collaborate with stakeholders to gather user requirements and understand the business needs. Design wireframes taking a user-centric approach to build intuitive products and iterate quickly to land on an efficient design. Review data products with stakeholders to ensure accuracy and alignment with the desired outcomes Incorporate feedback and suggest improvements to enhance the usability and effectiveness of visualizations. Manage multiple priorities simultaneously and consistently deliver high-quality work within established timelines. Set clear expectations with stakeholders regarding deliverables and project timelines. Stay up-to-date with the latest data management and analysis techniques and industry trends. Proactively identify opportunities to leverage data visualizations for improved decision-making. Qualifications A minimum of a Bachelor s degree is required, preferably with a major data science, bioinformatics, technology with 5 years of experience working in pharmaceutical or relevant industry Requirements: Knowledge and experience with pharmaceutical R&D, clinical development and operations Prior experience in working with clinical trial data: biomarker or clinical trial operations / clinical trial feasibility data Strong proficiency in Tableau and SQL: A portfolio of previously built data visualization is mandatory for interview. Expertise in data visualization principles and best practices. Add ability to query relational databases and work with ad-hoc files. Experience working with large and complex data sets. Experience leading teams Comfortable working with stakeholders to gather user requirements and incorporate feedback. Ability to manage multiple priorities and work effectively in a fast-paced environment. Excellent communication and presentation skills. Attention to detail and ability to ensure accuracy in data visualizations. Qualification : A minimum of a Bachelors degree is required

General Summary: Qualcomm is at the forefront of technological innovation, leveraging data-driven insights to power business decisions. We are seeking a Senior/Lead Data Engineer to design, develop, and implement advanced data solutions to support Qualcomm s business goals. This role will involve building scalable data pipelines, integrating large datasets, and collaborating with cross-functional teams to unlock the value of data. As a key technical leader, you will help shape Qualcomm s data infrastructure and work closely with data scientists, analysts, and business stakeholders to ensure the delivery of reliable and high-quality data solutions. Key Responsibilities: Design and implement scalable data pipelines and ETL processes for structured and unstructured data. Develop and optimize data lake, data warehouse, and real-time data processing solutions. Collaborate with data scientists, analysts, and product teams to understand data requirements and translate them into robust data solutions. Ensure data quality, reliability, and security across all data systems and pipelines. Build and maintain data models that support business intelligence and advanced analytics needs. Optimize data workflows for performance, scalability, and cost-efficiency. Provide technical leadership and mentorship to junior data engineers. Stay up to date with emerging technologies and recommend solutions to improve data architecture. Minimum Qualifications: Bachelor s or Master s degree in Computer Science, Information Systems, Engineering, or related field. 5+ years of experience in data engineering or related roles. Proficiency in Python, SQL, and Scala, with experience in building scalable ETL pipelines. Strong experience with big data technologies (e.g., Hadoop, Spark, Kafka). Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). Solid understanding of data modeling, data architecture, and real-time data processing. Experience with CI/CD, containerization (Docker, Kubernetes), and DevOps practices. Preferred Qualifications: Knowledge of machine learning pipelines and working with data science teams. Experience with streaming data frameworks (e.g., Apache Flink, Spark Streaming). Strong understanding of data governance, compliance, and security best practices. Excellent problem-solving, communication, and team collaboration skills. Why Join Qualcomm? At Qualcomm, you ll work on cutting-edge projects, collaborating with global teams to solve challenging problems. We offer: Continuous learning and growth opportunities. Flexible working arrangements and a supportive work culture. The chance to work with innovative technologies and industry leaders.

Scope: This role is responsible for client projects that involve route designing and the synthesis of molecules according to client specifications. The position will be carried out independently or through supervision of a team of chemists. Key Responsibilities: Reaction Setup & Execution: Set up and execute reactions for the synthesis of target molecules, ensuring proper reagents and equipment are used, maintaining specified conditions (e.g., temperature, pressure). Project Understanding & Deliverables: Understand the project requirements and deliverables as specified by the manager and client. Literature & Protocol Research: Understand reaction protocols and research literature as required for efficient synthesis. Team Management & Delegation: Efficiently delegate tasks and monitor team members for effective planning, execution, and delivery. Safety Compliance: Discuss and review MSDS (Material Safety Data Sheet) with the team to identify and mitigate potential safety risks with supervisor assistance. Analytical Monitoring: Monitor reactions and use analytical techniques to observe progress. Identify appropriate workup and purification methods to ensure desired compound quality. Reporting & Documentation: Analyze and interpret analytical data, and report synthesis results accurately. Prepare weekly, monthly, and final reports as required by the client. Project Management Support: Support project managers by helping finalize project estimations, identifying relevant literature, and proposing appropriate synthetic routes/reaction designs. Safety & Equipment Maintenance: Enforce good laboratory practices and ensure the maintenance of equipment, adhering to safety and quality systems. Team Development: Guide and mentor junior team members in organic chemistry techniques, analytical methods, and project execution. Regularly review performance and train team members. Functional/Technical Skills: Chemistry Knowledge: Expertise in organic chemistry (particularly synthesis) and analytical techniques. Safety Protocols: Strong understanding of safety standards in the laboratory environment. Data Integrity & Confidentiality: Knowledge of IP protection, data integrity, and confidentiality policies. Cost-Benefit Analysis: Ability to conduct cost-benefit analyses for resource optimization. Required Qualifications: Educational Requirements: MSc in Organic/Medicinal Chemistry with 1 5 years of relevant experience OR Ph.D. or Postdoctoral Fellowship in Organic/Medicinal Chemistry with 1 3 years of relevant experience. Additional Preferences: Candidates with research publications in leading journals will be given preference.

Scope: This role is responsible for executing chemical reactions to synthesize required quantities of molecules/compounds as per client specifications, using efficient routes and techniques. Key Responsibilities: Reaction Setup & Execution: Set up and execute reactions for the synthesis of target molecules/compounds, ensuring proper reagents and equipment (e.g., glassware, stirrers, vacuum pumps) are used while maintaining specified conditions (temperature, pressure). Safety Compliance & Risk Mitigation: Understand and discuss the Material Safety Data Sheet (MSDS) with team members. Identify and mitigate any potential safety risks with supervisor guidance. Multi-Reaction Execution: Plan and execute multiple reactions in parallel to meet project timelines, ensuring optimum usage of resources with minimal wastage. Reaction Monitoring & Analysis: Monitor reactions using analytical techniques, identify appropriate workup and purification methods, and evaluate the results. Produce intermediary/final compounds of the desired quality. Reporting & Documentation: Analyze analytical data, interpret results, and document findings accurately in lab notebooks. Prepare reports as required by the client, maintaining data integrity and IP confidentiality. Safety and Quality Practices: Follow good laboratory practices, ensuring maintenance of equipment and instruments according to SOPs. Maintain proper housekeeping norms in the lab. Team Development & Morale: Support team skill development by providing one-on-one discussions, organizing training sessions, and promoting further education programs to improve knowledge in organic chemistry and analytical techniques. Functional/Technical Skills: Knowledge of Chemistry & Execution: Strong understanding of organic chemistry, particularly synthesis, and execution techniques. Safety Protocols: Deep knowledge of safety and quality systems in laboratory environments. IP & Confidentiality: Awareness of IP protection and maintaining data integrity and confidentiality. Resource Optimization: Ability to conduct cost-benefit analysis for optimum resource usage. Required Qualifications: Educational Requirements: M.Sc. in Organic/Medicinal Chemistry with 1 5 years of relevant experience. Additional Preferences: Candidates with research publications in leading journals are preferred. Equal Employment Opportunity Statement: Aragen provides equal employment opportunities to all individuals regardless of age, color, national origin, citizenship status, mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity, genetic information, marital status, veteran status, or any characteristic protected by applicable legislation or local law. Reasonable accommodations will be provided for qualified individuals with disabilities. Qualification : M.Sc. in Organic/Medicinal Chemistry with 15 years of relevant experience.

Company Overview: Microsoft s mission is to empower every person and every organization on the planet to achieve more. The Microsoft Security Response Center (MSRC) team is at the forefront of this mission, ensuring the security of Microsoft's products, including the Azure platform. The team operates in an agile, start-up-like environment where innovation, collaboration, and fast-paced execution drive success. We are seeking a skilled Data Scientist to join our dynamic and growing team. This is a unique opportunity to work alongside engineers, data scientists, and security experts to build foundational services that will shape the future of security response. Role Overview: As a Data Scientist at MSRC, you will leverage your expertise in Large Language Models (LLMs), Machine Learning (ML), and Natural Language Processing (NLP) to design and build systems capable of reasoning over vast amounts of data. You will collaborate closely with engineering teams to develop fine-tuned LLM models, evaluate model outputs, and work on solutions that align with the product's needs. This role requires you to think creatively and work across teams to drive innovative solutions while maintaining productive working relationships with stakeholders. Key Responsibilities: Develop ML Systems: Design, build, and deploy systems that enable LLMs to reason over large data sets, leveraging lighter models where applicable. Collaborate with Engineering Teams: Work closely with engineers and partner teams to deliver solutions, including fine-tuning LLM models and evaluating model outputs for product requirements. Applied Science & Experimentation: Conduct experiments in applied science, develop metrics, build ML pipelines, and implement algorithms for LLM, NLP, and Information Retrieval. Data Management & Integrity: Prepare and manage data, ensure data cleanliness, and communicate project updates to senior leadership. Contribute to data ethics and privacy policies. Build Conversational Models: Develop and deploy conversational models for natural language understanding at scale. Responsible AI & Privacy: Advocate for and follow best practices in Responsible AI and Privacy Preserving Machine Learning. Stakeholder Collaboration: Collaborate with security, engineering, and product teams to align models with business goals, gather feedback, and drive effective execution of strategies. Thought Leadership: Provide feedback to engineering teams, identify business opportunities, and contribute to industry best practices. Required Qualifications: Bachelor's Degree in Computer Science or a related technical field AND 4+ years of technical engineering experience in languages like C, C++, C#, Java, JavaScript, or Python, OR Master's Degree in Computer Science or a related field AND 3+ years of technical engineering experience, OR Equivalent experience in the field. 3+ years of hands-on experience in Machine Learning. Proficiency in using ML tools such as Pytorch and TensorFlow. Experience in prompt engineering, fine-tuning, and using OpenAI or Azure Open AI APIs. Strong system development skills with experience in developing both rapid prototypes and complex, architected systems. Preferred Qualifications: Experience developing and deploying conversational models at scale. Familiarity with Responsible AI practices and Privacy Preserving Machine Learning. Ability to collaborate with cross-functional teams and work in a fast-paced environment.

We are seeking a dynamic Consultant to lead our team in implementing SAPIO Sciences LIMS and ELN solutions for our clients. This position entails designing solutions and configuring SAPIO Sciences systems to align with client requirements in lab informatics. The ideal candidate will bring a wealth of technical expertise and leadership skills to successfully deliver SAPIO LIMS and ELN projects. Responsibilities Lead SAPIO Sciences LIMS and ELN project implementations Customize and script SAPIO functionalities using Python, JavaScript, and SQL Manage integration of systems using RESTful APIs, Webhook, and web services Utilize port forwarding tools such as ngrok or Cloudflare to facilitate effective system communications Oversee database management for projects, specifically with PostgreSQL or similar technologies Implement cloud deployment strategies for SAPIO solutions using AWS, Azure, or GCP Configure and maintain Gunicorn application servers and ensure smooth operation of Flask/Django frameworks for web applications Set up and manage Nginx reverse proxy servers to optimize system performance Understand and implement lab workflows, sample accessioning, and efficient lab data management practices Ensure compliance with industry standards like GxP, FDA 21 CFR Part 11 in regulated environments Requirements 6 to 12 years of experience in Lab Informatics or related fields Strong technical expertise in SAPIO Sciences LIMS and ELN implementations Background in programming with proficiency in Python, JavaScript, and SQL Extensive experience with databases, focusing on PostgreSQL or equivalent Proficiency in cloud technologies including AWS, Azure, and GCP Excellent capability in managing API integrations and utilizing port forwarding tools Strong knowledge of reverse proxy servers (Nginx) and Python web application servers (Gunicorn) Competency in understanding and managing lab workflows and data management processes Background in working within regulated industries like Pharma, Biotech, etc Nice to have Knowledge of other LIMS/ELN platforms (LabWare, LabVantage) Certification in SAPIO Sciences or related tools Familiarity with laboratory instrument integration We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : 6 to 12 years of experience in Lab Informatics or related fields

About Our Team Our Security Architecture team, reporting to the CISO, plays a critical role in designing and implementing robust security solutions across all digital domains. The team works alongside Security Operations & SOC and Governance, Risk, and Compliance teams, ensuring the organization s technological infrastructure is secure and aligned with best industry practices. Under the leadership of the Security Architecture Lead, the team effectively supports our cybersecurity strategy, focusing on building a secure environment across all sectors. Role Overview The Health & Science Cybersecurity FTE will work under the direction of the Security Lead to ensure the cybersecurity resilience of our Health & Science sectors. This role will focus on implementing security measures and strategies tailored to the specific challenges of healthcare and scientific environments. Main Responsibilities Portfolio Optimisation & Functional Gaps Assess the efficacy of deployed security solutions within the health and science sectors and benchmark against leading vendor solutions. Evaluate the organization s cybersecurity solution portfolio and address identified gaps. Policies, Tech Standards & Security by Design Collaborate with IT, enterprise risk, and other teams to design and update policies and technical standards for hardware/software and applications in health and scientific settings. Work with product development teams to ensure cybersecurity practices are integrated and maintained throughout the product lifecycle in healthcare and scientific projects. Regularly review and update security policies to ensure the protection of health and scientific data throughout the acquisition and development lifecycle. Perform certification and accreditation processes for new systems in healthcare and scientific environments to ensure compliance and security readiness. About You Experience 5-7 years of professional experience (equivalent combination of experience and education is acceptable). Experience working in international environments. Proven expertise within cybersecurity teams, particularly in health and scientific environments. Track record of designing and implementing security solutions tailored to the unique challenges and regulatory requirements of health and science sectors. Soft Skills Experience working in large digital teams, understanding the connection between business and digital processes. Strong stakeholder management and communication skills, particularly with senior leadership. Problem-solving mindset and ability to take initiative. A hands-on, pragmatic attitude towards driving change. Positive, "can-do" attitude. Technical Skills Proficiency in the Microsoft tech stack and leveraging ecosystem synergies. Experience with AGILE or similar project management frameworks. Working knowledge of information security management frameworks (ISO/IEC 27001, ITIL, NIST, NISD, CISSP/CCSP, QxP, CIS20). Education Bachelor's and master's degree (preferred) in Information Technology, Computer Science, Cybersecurity, or Information Security. Languages Proficiency in English. Qualification : Bachelors and masters degree (preferred) in any of the following fields of study: Information Technology, Computer Science, Cybersecurity or Information Security

Job title: Data Scientist Location : IN / Hyderabad About the job An exciting opportunity to join our risk-based monitoring team. Risk-based monitoring (RBM) is an adaptive approach to clinical trial monitoring that directs focus and activities to critical data and processes that have the most potential to impact patient safety and data quality. In this context, the RBM team is responsible for designing, executing, and optimizing the Sanofi RBM approach to align with regulatory requirements and Sanofi's objective to drive quality, efficiency, and speed of clinical trials. The D ata Scientist (DS) is responsible for setting up and refreshing the RBM application for assigned studies, ensuring a seamless data flow, and configuring the system to meet RBM specifications and industry standards. You will work closely with Central Monitors and study Lead DS together to delivery RBM activities. If you are passionate about leveraging data to drive excellence in clinical trials, this is the opportunity for you. Main responsibilities: Data Extraction and Processing:Extract data from various systems and ensure it is preprocessed correctly, supporting the accuracy and reliability of our monitoring processes.. Dashboard Management:You will be in charge of setting up and updating KRI, DQA, QTL, and SPOT dashboards with precision and within the set timelines, adhering to established processes and standards. Script Execution and Updates:Execute SAS or Python scripts, updating parameters as required to meet the specific needs of each study. Collaborative Problem Solving:Provide a clear explanation of results and signals, working closely with Central Monitors and Lead Data Scientists to deliver effective RBM activities. About you Experience: Experience in a Clinical Research environment (CRO or Pharma). Experience in clinical data programming (SAS, Python, R, ) Soft and technical skills: Learns and adapts quickly when facing new problems. Think critically and use rigorous, objective, and pragmatic methods to solve multidimensional problems with effective and timely solutions. Good at SAS programming skills, it s better be able to develop from scratch. Execute Python script with updating parameters based on studies. Understand clinical trial-related documents with basic clinical knowledge, e.g., Protocol, SDS, CRF. Good interpersonal, communication, and negotiation skills (verbal and written). Able to acquire and apply new technical skills. Education: Bachelor s degree or above, preferably in a life science or mathematics-related area (e.g., computer sciences) Languages: Strong English skills (verbal and written), ability to exchange fluently in a global environment. Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it s through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks gender-neutral parental leave. An international work environment, in which you can develop your talent and realize ideas and innovations within a competent team A team that drives the innovation of the monitoring activities that align with future need W e believe that a Data Scientist is not just a job title; it's a role that embodies innovation, curiosity, and the power to transform data into actionable insights. You are the architects of our data-driven future, equipped with the latest technologies and a supportive environment that fosters growth and collaboration. Qualification : Bachelors degree or above, preferably in a life science or mathematics-related area (e.g., computer sciences)

Senior .NET Developer Location: Hyderabad Job Overview We are looking for a skilled and driven Senior .NET Developer to join our dynamic team in Hyderabad. The ideal candidate will have extensive experience in ASP.NET, ADO.NET, C#, MVC, Angular, jQuery, Web API, and Azure. This role requires expertise in both front-end and back-end technologies, with a focus on designing, developing, and maintaining robust web applications that align with business objectives. Key Responsibilities Design, develop, and maintain high-performance web applications using ASP.NET and C#. Build and implement RESTful APIs using ASP.NET Web API. Leverage ADO.NET to manage and optimize data access and interaction. Work closely with front-end teams to integrate Angular and jQuery, ensuring a fluid and responsive user experience. Write clean, efficient, and maintainable code, adhering to best practices and design patterns. Participate in the full SDLC, including requirements gathering, system design, development, testing, and deployment. Deploy and manage applications and services on Azure, ensuring scalability and optimal performance. Troubleshoot, debug, and optimize existing applications to improve efficiency and user experience. Stay current with emerging industry trends, technologies, and best practices to continuously enhance your skills and knowledge. Qualifications Bachelor s degree in Computer Science, Information Technology, or a related field. 5+ years of hands-on experience in .NET development, with a deep focus on ADO.NET, MVC, SQL Server, ASP.NET, and Web API. Expertise in C# and strong understanding of object-oriented programming principles. Familiarity with front-end technologies, such as HTML, CSS, and MS SQL Server is a plus. Experience using version control tools like GIT or SVN. Strong problem-solving abilities and the capacity to work independently as well as part of a team. Additional Information Role: Senior .NET Developer Industry: IT Services Department: Software Engineering & QA Employment Type: Full-time, Permanent Role Category: Software Development Qualification : Bachelors degree in Computer Science, Information Technology, or a related field.

Angular & C# Developer Role Overview: We are seeking a talented and motivated Angular & C# Developer to join our innovative development team. The ideal candidate will have strong experience with HTML, JavaScript, Angular 15+, TypeScript, AngularJS, and C#. As part of our team, you will contribute to developing and maintaining high-quality web applications, ensuring an exceptional user experience, and collaborating closely with backend developers and designers. Key Responsibilities: Frontend Development (Angular): Design and build responsive, dynamic user interfaces using Angular, following best practices for usability and performance. Develop reusable, maintainable components to streamline application development. Implement two-way data binding, reactive forms, and leverage Angular directives for managing dynamic content. Optimize performance with techniques like lazy loading, change detection strategies, and asset minification. Write unit tests for Angular components using testing frameworks such as Jasmine and Karma. Backend Development (C#/.NET): Build RESTful APIs or gRPC services using ASP.NET Core or the .NET Framework for seamless communication between front-end and back-end. Implement CRUD operations with databases (e.g., SQL Server, CosmosDB) using Entity Framework for efficient data handling. Write clean, scalable, and maintainable business logic that supports application functionality. Integrate security features like JWT-based authentication, OAuth, and role-based access control. Work with real-time communication protocols (e.g., WebSocket, SignalR) to provide live updates between the server and the front-end. Leverage cloud platforms (e.g., Azure) and services (e.g., Azure Blob Storage, Azure Functions) to enhance scalability. Implement error handling and integrate logging tools for application monitoring and troubleshooting. Full-Stack Integration: Ensure smooth integration between the Angular front-end and backend APIs using HTTP requests and SignalR. Collaborate with team members using Git for version control and best practices in branching strategies. Set up and manage CI/CD pipelines using tools like Azure DevOps or GitHub Actions to automate builds, testing, and deployment. Collaboration and Agile Development: Participate actively in Agile ceremonies such as sprint planning, daily stand-ups, and retrospectives. Collaborate with cross-functional teams to ensure UI/UX and business requirements are met. Conduct peer code reviews and mentor junior developers to maintain high-quality code standards. Skills & Qualifications: Education: Bachelor s Degree in Computer Science, Engineering, or related field (or equivalent experience). Angular: Extensive experience with Angular framework (15+), TypeScript, and front-end best practices. C#/.NET: Expertise in C#, .NET Core/Framework, and Entity Framework. Web Development: Proficiency in HTML5, CSS3, JavaScript, and building RESTful APIs. Database Management: Strong knowledge of SQL Server, CosmosDB, or other relational/non-relational databases. Cloud Development: Familiarity with Azure Cloud and associated services is a plus. Version Control & CI/CD: Experience with Git, Azure DevOps, or GitHub Actions for version control and automation. Additional Information: Role: Full Stack Developer Department: Engineering - Software & QA Industry: IT Services Employment Type: Full-time, Permanent Role Category: Software Development Qualification : Bachelors Degree in Computer Science, Engineering, or related field (or equivalent experience).

Azure Infrastructure Engineer Role Overview: We are seeking an experienced Azure Infrastructure Engineer to join our growing team. The ideal candidate will have hands-on expertise in Azure Resource Management, PaaS services, Compute services, Networking, Storage, Identity & Access Management, Monitoring & Diagnostics, and DevOps practices. You will play a pivotal role in designing, implementing, and maintaining our Azure infrastructure, ensuring it supports a wide range of applications and services. Key Responsibilities: Design & Implement Infrastructure Solutions: Architect scalable, secure, and highly available Azure infrastructure using Azure Resource Manager to meet business and application requirements. Manage Azure PaaS Services: Configure and manage Azure PaaS services (such as Azure App Services, Azure Functions, and Azure SQL Database) to optimize application performance, reliability, and scalability. Oversee Azure Compute Services: Manage and configure Azure Compute Services, including Virtual Machines, App Services, and Container Instances, ensuring efficient resource usage and performance. Networking & Security: Implement networking solutions within Azure, including Virtual Networks, Network Security Groups, and VPN gateways, ensuring secure and efficient network communication. Storage Solutions: Design, implement, and manage Azure storage solutions to ensure high availability, security, and efficient data access for applications. Identity & Access Management: Implement Identity and Access Management (IAM) solutions with Azure Active Directory and Role-Based Access Control (RBAC) to maintain secure user access and permissions across the infrastructure. Monitoring & Diagnostics: Utilize Azure Monitoring and Diagnostics tools to monitor infrastructure performance, identify issues, and ensure optimal operational efficiency. DevOps Integration: Work closely with DevOps teams to integrate infrastructure solutions with CI/CD pipelines, ensuring seamless application deployment, updates, and management. Documentation: Maintain detailed documentation of infrastructure configurations, best practices, and operational procedures for consistency and knowledge sharing across teams. Continuous Improvement: Stay updated with the latest Azure services, features, and best practices. Proactively recommend improvements to enhance infrastructure performance, security, and cost-efficiency. Skills & Qualifications: Education: Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. Azure Resource Management: Strong understanding of Azure Resource Manager, deployment automation, and infrastructure-as-code (IaC) practices. Azure PaaS Services: Proven experience managing Azure App Services, Azure Functions, and Azure SQL Database to optimize cloud application performance. Azure Compute Services: Expertise in managing and configuring Virtual Machines, App Services, and Container Instances for compute workloads. Networking Expertise: In-depth knowledge of Azure networking concepts, including Virtual Networks, Network Security Groups, and VPN solutions. Storage Solutions: Solid experience with Azure storage solutions (e.g., Blob Storage, Disk Storage) and best practices for data management and security. Identity & Access Management: Proficiency in Azure Active Directory and Role-Based Access Control (RBAC) for user and resource management. Monitoring & Diagnostics: Experience with Azure Monitoring and Azure Diagnostics tools to maintain system performance and troubleshoot issues. DevOps Knowledge: Familiarity with DevOps practices and experience working with CI/CD pipelines, automation tools, and infrastructure-as-code frameworks (e.g., ARM templates, Terraform). Additional Information: Role: Azure Infrastructure Engineer Department: Cloud Engineering Industry: IT Services Employment Type: Full-time, Permanent Role Category: Infrastructure Engineering Qualification : Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

Position Title: Data Modeler Location: Hyderabad Department: Data & Analytics Experience Required: 4+ Years Employment Type: Full-Time Company: GSPANN Technologies Job Description: GSPANN is seeking a highly skilled and detail-oriented Data Modeler to join our Hyderabad team. In this role, you will be responsible for developing and optimizing conceptual, logical, and physical data models that support business intelligence and decision-making processes. You will work closely with business stakeholders and technical teams to turn complex data into meaningful insights. Roles and Responsibilities: Translate business requirements into well-structured data models. Design and implement conceptual, logical, and physical data models for enterprise applications. Collaborate with cross-functional teams including data engineers, analysts, and business users. Ensure data integrity and consistency across various data sources and systems. Use data modeling tools (e.g., ERwin, ER/Studio) to document metadata and relationships. Participate in data profiling, analysis, and cleansing initiatives. Provide technical leadership on data structure standards and best practices. Support data governance, cataloging, and quality assurance efforts. Work in Agile environments and contribute to sprint planning and execution. Required Skills and Experience: Bachelor s or Master s degree in Computer Science, Information Technology, or related field. 4+ years of experience in data modeling (relational, dimensional, or NoSQL). Hands-on experience with tools such as ERwin, ER/Studio, or equivalent. Strong SQL skills and ability to handle large datasets. Experience with RDBMS systems (e.g., Oracle, SQL Server, PostgreSQL). Familiarity with cloud data platforms such as AWS, GCP, or Azure. Strong analytical skills and attention to detail. Excellent communication and stakeholder management skills. Nice to Have: Experience with Snowflake, BigQuery, or Redshift. Exposure to ETL tools and data pipeline development. Knowledge of metadata and data lineage tools. Experience in domains such as retail, healthcare, or finance. Be part of a forward-thinking company at the cutting edge of data and digital transformation. Work in a collaborative environment that encourages learning and growth. Gain exposure to global projects and next-gen technologies. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or related field.