data engineer

domain architect - data science Jobs in Noida India

domain architect - data science

data scientist 2

Oracle

<div>
 
 Job Description
 
 
 
 At Oracle Health, we are advancing healthcare through intelligent data-driven solutions. As a Data Scientist, you will contribute to model development and data analysis efforts that help transform clinical and operational data into meaningful insights.
 
 
 You will work closely with senior scientists to prepare data, build models, and evaluate performance&mdash;developing hands-on expertise in AI/ML and learning how to translate data science into real-world healthcare applications.
 
 
 
 Responsibilities
 
 
 
 
 Key Responsibilities
 
 
 
 Prepare, clean, and analyze structured and unstructured healthcare data (EHR, claims, text).
 
 
 Develop and test machine learning models under mentorship from senior data scientists.
 
 
 Contribute to exploratory data analysis, feature engineering, and model evaluation.
 
 
 Support deployment, testing, and documentation of AI/ML models.
 
 
 Collaborate with cross-functional teams on data pipelines and analytical use cases.
 
 
 Learn and apply best practices in healthcare data compliance and governance.
 
 
 
 Required Qualifications
 
 
 
 Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, AI/ML, or related field.
 
 
 1&ndash;3 years of hands-on experience in data analysis, ML, or AI.
 
 
 Proficiency in Python and ML frameworks (scikit-learn, TensorFlow, or PyTorch).
 
 
 Foundational understanding of NLP and Generative AI concepts.
 
 
 Strong analytical and problem-solving skills with attention to detail.
 
 
 
 Preferred Qualifications
 
 
 
 Exposure to healthcare data or interoperability standards (FHIR, HL7, ICD-10).
 
 
 Familiarity with cloud-based ML environments (OCI, AWS, Azure, GCP).
 
 
 Interest in AI research, publications, or open-source contributions.
 
 
 
 Responsibilities
 
 
 
 Contributes to the design and development of AI/ML models; supports data preparation and evaluation tasks; collaborates across teams to ensure accuracy and reproducibility; and builds foundational expertise to deliver high-quality healthcare AI solutions.
 
 
 
 Qualifications
 
 
 
 Career Level - IC2
 
 
 
 About Us
 
 
 
 As a world leader in cloud solutions, Oracle uses tomorrow&rsquo;s technology to tackle today&rsquo;s challenges. We&rsquo;ve partnered with industry-leaders in almost every sector&mdash;and continue to thrive after 40+ years of change by operating with integrity.
 
 
 We know that true innovation starts when everyone is empowered to contribute. That&rsquo;s why we&rsquo;re committed to growing an inclusive workforce that promotes opportunities for all.
 
 
 Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
 
 
 We&rsquo;re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.
 
 
 Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
</div>

Data Scientist 2

Nokia

<div>
 
 Job Description
 
 
 
 As a Senior Data Scientist focusing on Autonomous Networks at Nokia, you will be a key player on a dynamic team dedicated to revolutionizing telecom services through AI and machine learning. You will work closely with cross-functional teams, including engineers, product managers, and executive stakeholders, to design and implement cutting-edge data-driven solutions tailored for Communication Service Providers. You will engage directly with customers to understand their needs and drive the deployment of scalable AI/ML use cases that enhance network efficiency and performance.
 
 
 
 How You Will Contribute And What You Will Learn
 
 
 
 <ul>
 <li>
 Design, develop, and deploy AI/ML solutions for Autonomous Networks (AN).
 </li>
 <li>
 Build and manage cognitive data products for large-scale telecom AI/ML deployments.
 </li>
 <li>
 Research and implement advanced ML techniques to enhance existing systems.
 </li>
 <li>
 Collaborate with CSP customers to create scalable, data-driven solutions.
 </li>
 <li>
 Manage the complete data lifecycle, from ingestion to monitoring and retraining.
 </li>
 <li>
 Serve as a senior subject matter expert for data science and ML in AN, contributing to business development and technology evaluation.
 
 
 </li>
 </ul>
 
 Key Skills And Experience
 
 
 
 You have:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s in Computer Science, Statistics, Data Science, Mathematics, or a related field.
 </li>
 <li>
 15+ years total experience, including 10+ years in telecom and 5+ years in AI/ML &amp; cloud technologies.
 </li>
 <li>
 Knowledge of telecom network data (OSS/BSS, CDRs, performance, fault, CX data).
 </li>
 <li>
 Expertise in Python, SQL, PySpark, TensorFlow/PyTorch, and Scikit-learn.
 </li>
 <li>
 Experience with Vertex AI, Red Hat OpenShift AI, and Kubernetes.
 
 
 </li>
 </ul>
 It would be nice if you also had:
 
 
 <ul>
 <li>
 Familiarity with network automation, service assurance, and intent-based networking.
 </li>
 <li>
 Pre-sales experience like RFPs, solution demos, customer workshops.
 </li>
 <li>
 Knowledge of Data Mesh, Data Fabric, and MLOps frameworks.
 </li>
 <li>
 Experience with Snowflake, Databricks, Kafka, Flink, Airflow, and visualization tools like Tableau or Power BI.
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 
 Come create the technology that helps the world act together
 
 
 
 Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people&rsquo;s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
 
 
 We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work
 
 
 
 What we offer
 
 
 
 Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.
 
 
 
 Nokia is committed to inclusion and is an equal opportunity employer
 
 
 
 Nokia has received the following recognitions for its commitment to inclusion &amp; equality:
 
 
 <ul>
 <li>
 One of the World&rsquo;s Most Ethical Companies by Ethisphere
 </li>
 <li>
 Gender-Equality Index by Bloomberg
 </li>
 <li>
 Workplace Pride Global Benchmark
 
 
 </li>
 </ul>
 At Nokia, we act inclusively and respect the uniqueness of people. Nokia&rsquo;s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.
 
 
 We are committed to a culture of inclusion built upon our core value of respect.
 
 
 Join us and be part of a company where you will feel included and empowered to succeed.
 
 
 
 About The Team
 
 
 
 As Nokia's growth engine, we create value for communication service providers and enterprise customers by leading the transition to cloud-native software and as-a-service delivery models. Our inclusive team of dreamers, doers and disruptors push the limits from impossible to possible.
</div>

Domain Architect - Data Science

Adobe

<div>
 
 Our Company
 
 
 
 Changing the world through digital experiences is what Adobe&rsquo;s all about. We give everyone&mdash;from emerging artists to global brands&mdash;everything they need to design and deliver exceptional digital experiences! We&rsquo;re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
 
 
 We&rsquo;re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
 
 
 The Opportunity
 
 
 Adobe is seeking Product Analytics Experts passionate about data collection, AI/ML, problem-solving, and data-driven decision-making. If you're excited to uncover hidden data trends, optimize user experiences, and drive growth for Adobe's Experience Cloud products, this is your opportunity to make a significant impact.
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Data Collection/Telemetry: Lead data collection efforts using tools like Adobe WebSDK and Adobe Launch, ensuring accurate tracking of user interactions and product performance. Collaborate with engineering teams to ensure smooth data flow and integrity.
 </li>
 <li>
 AI/ML Application: Leverage AI and machine learning algorithms to automate data collection workflows, data validation of telemetry, predict trends, uncover insights, and optimize product features.
 </li>
 <li>
 Product Optimization: Provide data-driven recommendations to optimize Adobe&rsquo;s Experience Cloud products, applying AI/ML models for continuous improvement.
 </li>
 <li>
 Cross-Functional Collaboration: Work with product, engineering, and marketing teams to turn business needs into data-driven solutions.
 </li>
 <li>
 End-to-End Project Ownership: Independently manage analytics projects, ensuring that data insights are implemented effectively to drive business impact.
 </li>
 <li>
 Storytelling &amp; Communication: Present data insights clearly to both technical and non-technical stakeholders to inform product and business decisions.
 
 
 </li>
 </ul>
 Must-Have Requirements:
 
 
 <ul>
 <li>
 Experience: 3&ndash;5 years in data collection/telemetry, product analytics, data science, or related fields with a proven track record of solving complex problems using data in real-world environments.
 </li>
 <li>
 SQL Expertise: Strong proficiency in SQL, especially in big data environments (e.g., working with distributed data warehouses like BigQuery, Snowflake, Redshift).
 </li>
 <li>
 AI/ML Skills:
 </li>
 <li>
 Hands-on experience applying machine learning algorithms to real-world problems such as product optimization, predictive modeling, user behavior analysis, or anomaly detection.
 </li>
 <li>
 Practical use of AI/ML to automate data collection workflows, detect and correct telemetry errors, and uncover hidden insights in user interaction data.
 </li>
 <li>
 Experience with feature engineering, model evaluation, and iteration in production settings.
 </li>
 <li>
 Understanding of AI Models: Solid understanding of AI models, including ML supervised and unsupervised techniques. Experience working on production-level AI applications, contributing to model deployment, monitoring, and continuous improvement pipelines.
 </li>
 <li>
 Programming Skills: Proficiency in Python or R for data analysis, statistical modelling, and implementing foundational to intermediate machine learning techniques using libraries such as Scikit-learn, TensorFlow, or PyTorch.
 </li>
 <li>
 Cross-Functional Collaboration: Proven ability to collaborate effectively with product managers, engineers, and designers to develop data-informed strategies and solutions.
 </li>
 <li>
 Communication Skills: Ability to distil and present complex data insights in a clear, actionable manner tailored to both technical and non-technical stakeholders.
 
 
 </li>
 </ul>
 Good-to-Have:
 
 
 <ul>
 <li>
 Adobe Analytics: Experience with Adobe Analytics or Adobe Customer Journey Analytics.
 </li>
 <li>
 Clickstream Data Implementation: Familiarity with tools like Adobe Launch or Google Tag Manager (GTM) for product tracking strategies.
 
 
 </li>
 </ul>
 Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
 
 
 Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.
</div>

Product Analyst

Amicon Hub Services

<div>
 
 📍
 
 Location:
 
 Noida / Indore
 
 
 🧠
 
 Experience:
 
 5&ndash;8 Years
 
 
 🤝
 
 Mode:
 
 Contract to Hire (C2H)
 
 
 
 Skill Set:
 
 
 <ul>
 <li>
 Strong in
 
 SQL
 
 </li>
 <li>
 Hands-on with
 
 OLAP (SSAS)
 
 </li>
 <li>
 Experience in
 
 any BI tool
 
 (Power BI / Tableau / etc.)
 </li>
 <li>
 Good communication skills
 </li>
 <li>
 (Nice to have:
 
 MDX
 
 )
 </li>
 </ul>
 
 
</div>

Data Engineer

HCLTech

<div>
 
 HCL is hiring for Content Management
 
 
 
 
 
 
 Interested candidates please share your resume on below ID with Subject Content Analyst
 
 
 
 
 
 
 
 Email - anku.jain@hcltech.com
 
 
 
 
 Current CTC-
 
 
 
 
 Expected CTC-
 
 
 
 
 Notice Period -
 
 
 
 
 Exp in media/newsroom Como in years -
 
 
 
 
 Current location -
 
 
 
 
 
 
 
 
 Immediate joiners only or with 15 Days notice can apply
 
 
 
 
 
 
 
 
 Job Description (Content Analyst/Judge)
 
 Noida, India
 
 
 
 
 
 Responsibilities: -
 
 
 1. Review, label global news content across different categories against preset customer guidelines - Trust &amp; Safety.
 
 
 2. Keep track, be aware of news, current affairs, especially international markets like the US.
 
 
 3. Identify gaps/ gray areas in policies &amp; guidelines based on ground truth data.
 
 
 4. Store, document edge cases, nuanced examples among moderated content to create referenceable repositories.
 
 
 
 
 
 
 Skill Set Required: -
 
 
 
 1. Experience in Digital Safety/ Trust and Safety operations, or equivalent newsroom experience print/ digital/ TV
 
 
 2. Familiarity with news &amp; media editorial policies
 
 
 3. Fluent English skills oral and written. Excellent comprehension skills - C2 English level
 
 
 4. Ability to work under pressure and make sound judgment calls
 
 
 5. Degree in journalism/ communication/ English or similar field
 
 
 6. Journalism/ newsroom experience/ exposure is a must.
 
 
 7. Audit/ review experience or equivalent newsroom experience print/ digital/ TV - desk editor, proofreading, etc.
 
 
 
 
 
 Regards
 
 
 HCL Tech
 
 
 
</div>

HCL is hiring for Content Analyst || Noida

Lepide

<div>
 
 
 Quality Analyst
 
 
 
 
 
 
 
 Position Summary:
 
 
 
 
 
 
 We are looking for Quality Analyst (Manual) with 2 plus years of industry experience to work alongside our growing team of quality analysts and product developers. The QA will be responsible for ensuring the product meets the established standards of quality including reliability, usability and performance.
 
 
 
 
 
 
 Desired Candidate Profile:
 
 
 
 
 
 <ul>
 <li>
 Manual testing - test cases, test execution, reporting bugs
 </li>
 <li>
 Document, and track, case histories, issues, and actionable steps taken, and implementation and post implementation support
 </li>
 <li>
 Preparing test cases for module, integration and system testing
 </li>
 <li>
 Design and develop tools for test management, execution and reporting to enhance the overall software testing process
 </li>
 <li>
 Strong process knowledge in quality assurance
 </li>
 <li>
 Should have good track record of identifying and resolving quality issues
 </li>
 <li>
 The key responsibilities of this person will be to test the product for functional, look and feel of the GUI and performance
 </li>
 <li>
 To keep in close loop of developers to report/troubleshoot issues
 </li>
 </ul>
 
 
 
 
 
 Required Skills and Qualifications:
 
 
 
 
 
 <ul>
 <li>
 2-4 years of experience in testing web and windows-based applications
 </li>
 <li>
 Hands on experience in performance testing is a must have
 </li>
 <li>
 Creating test cases, test sets, test executions for web and windows-based applications
 </li>
 <li>
 Performing ad-hoc testing, smoke testing, data driven testing, cross-browser testing
 </li>
 <li>
 Performing release acceptance, functional, integration, system level, and regression testing
 </li>
 <li>
 Testing various builds and patches
 </li>
 <li>
 Ability to work in a rapidly changing environment
 </li>
 <li>
 Knowledge of Active Directory, Group Policy, Windows File Server and SQL is an advantage
 </li>
 <li>
 Experience with Atlassian products and XRAY is an advantage
 </li>
 <li>
 Must be able to work under pressure and towards deadlines
 </li>
 </ul>
 
 
</div>

Quality Analyst

Kyndryl

<div>Who We Are
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward &ndash; always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. 
 
The Role
Are you ready to dive headfirst into the captivating world of data engineering at Kyndryl? As a Data Engineer, you'll be the visionary behind our data platforms, crafting them into powerful tools for decision-makers. Your role? Ensuring a treasure trove of pristine, harmonized data is at everyone's fingertips. As a Data Engineer at Kyndryl, you'll be at the forefront of the data revolution, crafting and shaping data platforms that power our organization's success. This role is not just about code and databases; it's about transforming raw data into actionable insights that drive strategic decisions and innovation. In this role, you'll be engineering the backbone of our data infrastructure, ensuring the availability of pristine, refined data sets. With a well-defined methodology, critical thinking, and a rich blend of domain expertise, consulting finesse, and software engineering prowess, you'll be the mastermind of data transformation. Your journey begins by understanding project objectives and requirements from a business perspective, converting this knowledge into a data puzzle. You'll be delving into the depths of information to uncover quality issues and initial insights, setting the stage for data excellence. But it doesn't stop there. You'll be the architect of data pipelines, using your expertise to cleanse, normalize, and transform raw data into the final dataset&mdash;a true data alchemist. Armed with a keen eye for detail, you'll scrutinize data solutions, ensuring they align with business and technical requirements. Your work isn't just a means to an end; it's the foundation upon which data-driven decisions are made &ndash; and your lifecycle management expertise will ensure our data remains fresh and impactful. So, if you're a technical enthusiast with a passion for data, we invite you to join us in the exhilarating world of data engineering at Kyndryl. Let's transform data into a compelling story of innovation and growth. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won&rsquo;t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. 
 
Who You Are
You&rsquo;re good at what you do and possess the required experience to prove it. However, equally as important &ndash; you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused &ndash; someone who prioritizes customer success in their work. And finally, you&rsquo;re open and borderless &ndash; naturally inclusive in how you work with others.
Required Technical and Professional Expertise
<ul><li>Azure Data Services: Synapse Analytics, Data Factory, Data Lake Gen2, Azure SQL, Microsoft Fabric
</li><li>6 + years of experience into Azure
</li><li>Business Intelligence: Power BI (DAX, Data Modeling, Paginated Reports, Power BI Service)
</li><li>Integration: Data ingestion from Dynamics 365, Dataverse, and on-prem systems
</li><li>Programming &amp; ETL: SQL, Python, or PySpark for data transformation and pipeline development
</li><li>Data Governance: Azure Purview or Fabric governance features
</li><li>Version Control &amp; CI/CD: Git, DevOps pipelines for data deployments
</li><li>Understanding of Dynamics 365 Functional Areas: Sales, Finance, Operations, or Customer Service
</li></ul><div></div>Preferred Technical and Professional Experience
<ul><li>Microsoft Certified: Azure Data Engineer Associate (DP-203) or Fabric Analytics Engineer (DP-600)
</li><li>Experience with Power Platform , including Power Apps and Power Automate
</li><li>Exposure to Real-Time Analytics or Event-Driven Architecture (Event Hubs, Stream Analytics)
</li><li>Strong understanding of data modeling methodologies (Kimball/Inmon)
</li><li>Excellent problem-solving, communication, and collaboration skills
</li><li>Strong analytical thinking and attention to detail
</li><li>Ability to work independently and in cross-functional agile teams
</li><li>Proactive approach to optimizing data processes and improving system reliability
</li>Excellent stakeholder communication and presentation skills 
<li>
</li></ul> 
Being You
Diversity is a whole lot more than what we look like or where we come from, it&rsquo;s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we&rsquo;re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you &ndash; and everyone next to you &ndash; the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That&rsquo;s the Kyndryl Way. 
 
What You Can Expect
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter &ndash; wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
Get Referred!
If you know someone that works at Kyndryl, when asked &lsquo;How Did You Hear About Us&rsquo; during the application process, select &lsquo;Employee Referral&rsquo; and enter your contact's Kyndryl email address.</div>

Azure Data Engineer – Dynamics 365

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