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ValGenesis

<div>
 
 About ValGenesis
 
 
 ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle.
 
 
 Learn more about working for ValGenesis, the de facto standard for paperless validation in Life Sciences: https://www.youtube.com/watch?v=tASq7Ld0JsQ
 
 
 About the Role:
 
 
 
 🚀 We're Hiring Engineers Across All Levels! 🚀
 
 
 Are you ready to build the future with us? At
 
 ValGenesis
 
 , we're scaling rapidly and expanding our engineering teams across multiple functions. Whether you're a seasoned expert or an emerging talent, we have exciting opportunities for you to grow, innovate, and make an impact.
 
 
 
 Location:
 
 
 Our Offices are in the following locations:
 
 
 Chennai: Taramani, Chennai
 
 
 Bengaluru: Bengaluru, Karnataka
 
 
 Hyderabad: Ranga Reddy, Telangana
 
 
 🔧 What We&rsquo;re Hiring For 🔧:
 
 
 We&rsquo;re looking for engineers with
 
 2 to 12 years of experience
 
 across a variety of disciplines, including but not limited to:
 
 
 
 Software Engineering
 
 (Frontend, Backend, Full Stack)
 
 
 
 DevOps &amp; Infrastructure
 
 
 
 Data Engineering &amp; Analytics
 
 
 
 Machine Learning &amp; AI
 
 
 
 Quality Assurance &amp; Automation
 
 
 
 Embedded Systems &amp; Hardware
 
 
 
 Product &amp; Platform Engineering
 
 
 🌟 What You&rsquo;ll Do 🌟:
 
 
 Collaborate with cross-functional teams to design, build, and scale cutting-edge solutions.
 
 
 Solve complex technical challenges with creativity and efficiency.
 
 
 Contribute to a culture of innovation, ownership, and continuous improvement.
 
 
 🎯 What We&rsquo;re Looking For🎯 :
 
 
 Proven experience in engineering roles (2&ndash;12 years).
 
 
 Strong problem-solving skills and a passion for technology.
 
 
 Ability to work in a fast-paced, collaborative environment.
 
 
 Experience with modern tools, frameworks, and methodologies relevant to your domain.
 
 
 
 Ready to take the next step?
 
 
 Apply now. Let&rsquo;s build something amazing together.
 
 
 
 We&rsquo;re on a Mission
 
 
 In 2005, we disrupted the life sciences industry by introducing the world&rsquo;s first digital validation lifecycle management system. ValGenesis VLMS&reg; revolutionized compliance-based corporate validation activities and has remained the industry standard.
 
 
 Today, we continue to push the boundaries of innovation &horbar; enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations.
 
 
 
 The Team You&rsquo;ll Join
 
 
 Our customers&rsquo; success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanity&rsquo;s quality of life, and we honor that mission.
 
 
 We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done.
 
 
 We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward.
 
 
 We&rsquo;re in it to win it. We&rsquo;re on a path to becoming the number one intelligent validation platform in the market, and we won&rsquo;t settle for anything less than being a market leader.
 
 
 
 How We Work
 
 
 Our Chennai, Hyderabad and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company.
 
 
 ValGenesis is an equal-opportunity employer that makes employment decisions on the basis of merit. Our goal is to have the best-qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics protected by local law.
</div>

Calling all Software Engineers!

Microsoft

<div>
 We are the Windows Servicing and Delivery (WSD) organization, our core mission is to keep customers protected and productive by delivering seamless and timely Windows updates to our customers in existing and future versions of Windows. This work demands solving complex challenges in the Windows operating systems and building mission-critical services and infrastructure. In addition to updates, we empower commercial and enterprise customers with products and solutions to deploy and secure their devices effectively.
 
 
 Our Autopatch Service team is looking for a highly motivated Senior Software Engineer to join our mission. In this role, you will lead the design, development, and deployment of highly scalable, reliable software systems, shape technical strategies, and build cloud services that operate at high availability and scale.
 
 
 As a member of the team, you will act as a Designated Responsible Individual (DRI) in an on-call rotation to monitor system/product feature/service for degradation, downtime, or interruptions and gains approval to restore system/product/service for simple problems.
 
 
 We value passion, creativity, agility, accountability and desire to learn new complex technical areas. Our customers are at the heart of everything we do, and delivering exceptional Windows experiences is our top priority. Their excitement fuels our passion for building high-quality solutions.
 
 
 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.
 
 
 If you're excited about building world-class teams, thrive on solving tough problems, and are driven by customer impact, we&rsquo;d love to hear from you.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and operationalize the deployment of complex, enterprise-grade cloud services that leverage multiple services and platforms, ensuring high availability, scalability, robustness, and observability.
 </li>
 <li>
 Create, implement, optimize, debug, refactor, and reuse code to enhance performance, maintainability, effectiveness, and return on investment (ROI).
 </li>
 <li>
 Leverage subject-matter expertise of product features and partner with stakeholders to drive project plans, release plans, and work items for the work group. Drive the identification of dependencies and the development of design documents for products, applications, services, or platforms.
 </li>
 <li>
 Act as a Designated Responsible Individual (DRI) and guide other engineers by developing and following the playbook, working on call to monitor systems/products/services for degradation, downtime, or interruptions, alerting stakeholders about status, and initiating actions to restore systems/products/services for both simple and complex problems when appropriate.
 </li>
 <li>
 Lead by example, engage in discussions on the architecture of products or solutions, and apply engineering principles to establish robust and maintainable architecture and designs.
 </li>
 <li>
 As a member of the team, you will act as a Designated Responsible Individual (DRI) in an on-call rotation (typically 24/7 for one week every 6-8 weeks) to monitor system/product feature/service for degradation, downtime, or interruptions and gains approval to restore system/product/service for simple problems.
 </li>
 <li>
 Drive engineering improvements and rigor within the team as well as with stakeholders.
 </li>
 <li>
 Mentor junior engineers in the team.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science or related technical field AND 7+ years technical engineering experience with coding in languages C#, Azure and Cloud Technologies.
 </li>
 <li>
 Experience with Agile/scrum methodologies.
 
 
 </li>
 </ul>
 
 Other Requirements
 
 
 
 Candidates must be able to meet Microsoft, customer and/or government security screening requirements that 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.
 
 
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 </li>
 <ul>
 <li>
 Experience with large scale services, architecture and technologies. Experience building solutions with Azure is a plus.
 </li>
 <li>
 Experience with UI and scripting languages is a plus.
 </li>
 <li>
 Proven design and problem-solving skills, with an emphasis on quality and engineering excellence.
 </li>
 <li>
 Demonstrated experience in collaborating with geographically distributed partner teams
 </li>
 <li>
 Proven communication skills, both verbal and written.
 </li>
 <li>
 BS in Computer Science or equivalent preferred.
 
 </li>
 </ul>
 </ul>
 #wsdjobs
 
 
 #wsdindia
 
 
 #ewdindia
 
 
 #wsd
 
 
 #CPC
 
 
 #AutoPatch
 
 
 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 - C#

ValueMomentum

<div>
 
 Job Title:
 
 AI/ML Lead
 
 
 
 Job ID:
 
 POS-16044
 
 
 
 Primary Skill:
 
 AWS Services
 
 
 
 Location:
 
 Hyderabad
 
 
 
 Experience:
 
 9.00
 
 
 
 Secondary Skills:
 
 GenAI, Langchain,LLMs, and RAG
 
 
 
 Job Location:
 
 Hyderabad
 
 
 
 Mode of Work:
 
 Work From Office
 
 
 
 Experience
 
 
 :
 
 7-12 Years
 
 
 
 About The Job
 
 
 
 We are seeking an AI Architect to join their team in Erie, PA. We are looking for a senior data scientist/agentic AI architect with heavy ML/MLops experience (strong Python) who can evaluate and implement models that are provided by the enterprise and act as Lead Engineer. We are really searching for someone who can analyze the models and select which model can be used for which situation. The Senior/Lead ML Engineer will need deep ML knowledge but will not be building models from scratch, but potentially making them more efficient, implementing them, analyzing them and assisting with metrics and future plans with a focus on agentic AI (workflows).
 
 
 
 Know Your Team
 
 
 
 At ValueMomentum&rsquo;s Technology Solution Centers, we are a team of passionate engineers who thrive on tackling complex business challenges with innovative solutions while transforming the P&amp;C insurance value chain. We achieve this through a strong engineering foundation and by continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Our core expertise lies in six key areas:
 
 Platforms, Infra/Cloud, Application, Data, Core, and Quality Assurance
 
 .
 
 
 Join a team that invests in your growth. Our Infinity Program empowers you to build your career with role-specific skill development, leveraging immersive learning platforms. You'll have the opportunity to showcase your talents by contributing to impactful projects.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Lead the design and development of an Agentic AI platform
 </li>
 <li>
 Architect and implement core systems for agent-based AI workflows
 </li>
 <li>
 Design and deploy LLM-based pipelines, agent orchestration, and vector-based memory systems,
 </li>
 <li>
 Develop and optimise ML models, pipelines, and orchestration logic
 </li>
 <li>
 Ensure the integration and compatibility of network, IDAM (Identity and Access Management), Active Directory, key vaults, and other security-related components within the self-service platform.
 </li>
 <li>
 Provide technical leadership and guidance to development teams on leveraging the self-service platform for their AI-based initiatives.
 </li>
 <li>
 Collaborate with stakeholders to define key performance indicators (KPIs) and establish metrics for measuring the effectiveness and adoption of the self-service platform with improved developer experience.
 </li>
 <li>
 Stay abreast of industry trends, best practices, and regulatory requirements related to cloud computing, DevOps, network, security, and platform modernisation.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s / master&rsquo;s degree in computer science, Engineering, or a related field (or equivalent work experience).
 </li>
 <li>
 Programming Languages: Proficiency in Python is essential.
 </li>
 <li>
 Agentic AI : Expertise in LangChain/LangGraph, CrewAI, Semantic Kernel/Autogen and Open AI Agentic SDK
 </li>
 <li>
 Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, and AutoML; Deep expertise in machine learning, system architecture, and AI agent frameworks to build scalable, autonomous systems
 </li>
 <li>
 Generative AI: Hands-on experience with generative AI models, RAG architecture, and Natural Language Processing (NLP)
 </li>
 <li>
 Cloud Platforms: Familiarity with AWS
 </li>
 <li>
 Data Engineering: Proficiency in data preprocessing and feature engineering
 </li>
 <li>
 Version Control: Experience with GitHub for version control
 </li>
 <li>
 Data Science Practices: Skills in building models, testing/validation, and deployment
 </li>
 <li>
 Collaboration: Experience working in an Agile framework
 </li>
 <li>
 RAG Architecture: Experience with data ingestion, data retrieval, and data generation using optimal methods such as hybrid search
 </li>
 <li>
 Understanding of AWS services such as EC2, S3, VPC, IAM, Lambda, API Gateway, and others.
 </li>
 <li>
 Knowledge in infrastructure as code (IaC) tools such as Terraform,.
 </li>
 <li>
 Understanding of cloud security best practices, compliance standards, and governance frameworks.
 </li>
 <li>
 Experience with containerization technologies (e.g., Docker, Kubernetes) and serverless computing.
 </li>
 <li>
 Experience with DevOps practices, including CI/CD pipelines, configuration management, and automated testing.
 </li>
 <li>
 Experience in network architecture, IDAM (Identity and Access Management), Active Directory, key vaults, and other network and security-related components.
 </li>
 <li>
 Excellent problem-solving skills and the ability to troubleshoot complex issues in distributed systems.
 </li>
 <li>
 Effective communication and collaboration skills, with the ability to effectively interact with stakeholders at all levels.
 
 
 </li>
 </ul>
 
 About The Company
 
 
 
 ValueMomentum is a leading solutions provider for the global property and casualty insurance industry. The company helps insurers stay ahead with sustained growth and high performance, enhancing stakeholder value and fostering resilient societies. Having served over 100 insurers, ValueMomentum is one of the largest services providers exclusively focused on the insurance industry.
 
 
 
 Benefits
 
 
 
 We at ValueMomentum offer you a congenial environment to work and grow in the company of experienced professionals. Some benefits that are available to you are:
 
 
 <ul>
 <li>
 Competitive compensation package.
 </li>
 <li>
 Career Advancement: Individual Career Development, coaching and mentoring programs for professional and leadership skill development.
 </li>
 <li>
 Comprehensive training and certification programs.
 </li>
 <li>
 Performance Management: Goal Setting, continuous feedback and year-end appraisal. Reward &amp; recognition for the extraordinary performers.
 </li>
 </ul>
</div>

AI/ML Lead

NTT DATA Business Solutions

<div>
 
 Job Description
 
 
 
 <ul>
 <li>
 JD - Job Description:
 </li>
 <li>
 Overall 3 &ndash; 6 years&rsquo; Experience in Server Management Administration (Linux).
 </li>
 <li>
 Experience in Server (physical/VM) installation, maintenance &amp; decommissioning.
 </li>
 <li>
 Profound Linux OS operations experience.
 </li>
 <li>
 Knowledge in hypervisor operations (XEN and VMware).
 </li>
 <li>
 To have good knowledge in LVM, DNS, LDAP and IPTables.
 </li>
 <li>
 To have good troubleshooting skills in server down situation.
 </li>
 <li>
 Knowledge in physical server management.
 </li>
 <li>
 Additionally, associate level knowledge in at least one public cloud landscape (AWS, Azure, GCP).
 </li>
 <li>
 Basic knowledge in automation tools and (e.g. chef) and scripting (e.g. bash, Perl)
 </li>
 <li>
 Additionally, knowledge/experience in using GitHub and Jira would be beneficial.
 </li>
 <li>
 Any experience in monitoring with Prometheus on docker setup and/or ELK stack would be beneficial (not mandatory)
 </li>
 <li>
 Any knowledge for central infrastructure services is recommended and highly beneficial (Security Groups/RPM/Rsync/Mail/Active Directory/Chef automation/Nagios/repository management/Monitoring)
 </li>
 <li>
 Able to provide knowledge transfer from certain technology areas towards 2nd level technical support.
 
 
 </li>
 </ul>
 
 Roles &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Deliver 3rd level technical support in compliance with customer SLAs
 </li>
 <li>
 Daily Compute operations (Events/Incidents/SR/CR/RCA ..) following ITIL processes
 </li>
 <li>
 Server installation, maintenance, monitoring, decommission and special configurations beyond automated tasks
 </li>
 <li>
 Storage Operations based on netapp-nfs
 </li>
 <li>
 Package/repository management and OS image maintenance
 </li>
 <li>
 Patch Management using BladeLogic Automation
 </li>
 <li>
 Server related Monitoring/Alert configuration and rollouts
 </li>
 <li>
 Performance tests and analysis
 </li>
 <li>
 Root Cause Analysis for customer incidents
 </li>
 <li>
 Service/Task documentation, testing, quality management and knowledge transfer
 </li>
 <li>
 assist 2nd level technical support in complex tasks
 
 
 </li>
 </ul>
 willingness to participate in an OnCall setup which may include weekends or public holidays if required by the project
 
 
 
 Get empowered by NTT DATA Business Solutions!
 
 
 
 
 We transform. SAP&reg; solutions into Value
 
 
 
 
 For any questions related to Job Description, you may connect with below specified contact from Recruiting.
 
 
 
 
 Recruiter Name:
 
 
 
 Antonette Nirisha
 
 
 
 
 
 Recruiter Email ID:
 
 
 
 Antonette.Nirisha@nttdata.com
 
 
 
 
 
 NTT DATA Business Solutions is a fast-growing international IT company and one of the world&rsquo;s leading SAP partners. We are a full service provider delivering everything from business consulting to implementation of SAP solutions, including hosting services and support.
 
</div>

Consultant

PepsiCo

<div>
 
 
 Location: Hyderabad and Gurgaon.
 
 
 
 
 
 
 
 Overview
 
 
 
 Data Science Team works in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Pipelines.
 
 
 
 
 You will be part of a collaborative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/ML models. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope
 </li>
 <li>
 Active contributor to code &amp; development in projects and services
 </li>
 <li>
 Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption.
 </li>
 <li>
 Partner with ML engineers working on industrialization.
 </li>
 <li>
 Communicate with business stakeholders in the process of service design, training and knowledge transfer.
 </li>
 <li>
 Support large-scale experimentation and build data-driven models.
 </li>
 <li>
 Refine requirements into modelling problems.
 </li>
 <li>
 Influence product teams through data-based recommendations.
 </li>
 <li>
 Research in state-of-the-art methodologies.
 </li>
 <li>
 Create documentation for learnings and knowledge transfer.
 </li>
 <li>
 Create reusable packages or libraries.
 </li>
 <li>
 Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
 </li>
 <li>
 Leverage big data technologies to help process data and build scaled data pipelines (batch to real time)
 </li>
 <li>
 Implement end-to-end ML lifecycle with Azure Databricks and Azure Pipelines
 </li>
 <li>
 Automate ML models deployments
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 BE/B.Tech in Computer Science, Maths, technical fields.
 </li>
 <li>
 Overall 2-4 years of experience working as a Data Scientist.
 </li>
 <li>
 2+ years&rsquo; experience building solutions in the commercial or in the supply chain space.
 </li>
 <li>
 2+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus.
 </li>
 <li>
 Fluent in SQL syntaxis.
 </li>
 <li>
 2+ years&rsquo; experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems.
 </li>
 <li>
 2+ years&rsquo; experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Pyspark development.
 </li>
 <li>
 Data Science &ndash; Hands on experience and strong knowledge of building machine learning models &ndash; supervised and unsupervised models. Knowledge of Time series/Demand Forecast models is a plus
 </li>
 <li>
 Programming Skills &ndash; Hands-on experience in statistical programming languages like Python, Pyspark and database query languages like SQL
 </li>
 <li>
 Statistics &ndash; Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators
 </li>
 <li>
 Cloud (Azure) &ndash; Experience in Databricks and ADF is desirable
 </li>
 <li>
 Familiarity with Spark, Hive, Pig is an added advantage
 </li>
 <li>
 Business storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool.
 </li>
 <li>
 Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities
 </li>
 <li>
 Experience with Agile methodology for team work and analytics &lsquo;product&rsquo; creation.
 </li>
 <li>
 Experience in Reinforcement Learning is a plus.
 </li>
 <li>
 Experience in Simulation and Optimization problems in any space is a plus.
 </li>
 <li>
 Experience with Bayesian methods is a plus.
 </li>
 <li>
 Experience with Causal inference is a plus.
 </li>
 <li>
 Experience with NLP is a plus.
 </li>
 <li>
 Experience with Responsible AI is a plus.
 </li>
 <li>
 Experience with distributed machine learning is a plus
 </li>
 <li>
 Experience in DevOps, hands-on experience with one or more cloud service providers AWS, GCP, Azure(preferred)
 </li>
 <li>
 Model deployment experience is a plus
 </li>
 <li>
 Experience with version control systems like GitHub and CI/CD tools
 </li>
 <li>
 Experience in Exploratory data Analysis
 </li>
 <li>
 Knowledge of ML Ops / DevOps and deploying ML models is preferred
 </li>
 <li>
 Experience using MLFlow, Kubeflow etc. will be preferred
 </li>
 <li>
 Experience executing and contributing to ML OPS automation infrastructure is good to have
 </li>
 <li>
 Exceptional analytical and problem-solving skills
 </li>
 <li>
 Stakeholder engagement-BU, Vendors.
 </li>
 <li>
 Experience building statistical models in the Retail or Supply chain space is a plus
 </li>
 </ul>
 
 
</div>

Data Scientist

Capgemini

<div>
 
 Job Description
 
 
 
 Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.
 
 
 <ul>
 <li>
 Applies scientific methods to analyse and solve software engineering problems.
 </li>
 <li>
 He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.
 </li>
 <li>
 His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.
 </li>
 <li>
 The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.
 </li>
 <li>
 The software engineer collaborates and acts as team player with other software engineers and stakeholders.
 
 
 </li>
 </ul>
 Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.
 
 
 
 Job Description - Grade Specific
 
 
 
 Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.
</div>

Software Engineer

McDonald's

<div>
 
 
 About McDonald&rsquo;s:
 
 
 
 One of the world&rsquo;s largest employers with locations in more than 100 countries, McDonald&rsquo;s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.
 
 
 
 
 
 
 Position Summary:
 
 
 
 Looking to hire a Data Engineer at the G4 level who has a deep understanding of Data Product Lifecycle, Standards and Practices. Will be responsible for building scalable and efficient data solutions to support the Brand Marketing / Menu function with a specific focus on the Menu Data product and initiatives. As a Data Engineer, you will collaborate with data scientists, analysts, and other cross-functional teams to ensure the availability, reliability, and performance of data systems. Leads initiatives to enable trusted Menu data, supports decision-making, and partners with business and technology teams to deliver scalable data solutions that drive insights into menu performance, customer preferences, and marketing effectiveness. Expertise in cloud computing platforms, technologies and data engineering best practices will play a crucial role within this domain.
 
 
 
 
 
 
 Who we are looking for:
 
 
 
 
 Primary Responsibilities:
 
 
 <ul>
 <li>
 Builds and maintains relevant and reliable Menu data products that support menu and marketing Analytics. Develops and implements new technology solutions as needed to ensure ongoing improvement with data reliability and observability in-view.
 </li>
 <li>
 Participates in new software development engineering and Lead data engineering initiatives supporting Product Mix Analytics, ensuring timely and accurate delivery of marketing and menu-related products.
 </li>
 <li>
 Work closely with the Product owner and help to define business rules that determines the quality of Menu datasets.
 </li>
 <li>
 Drive and implement best practices for pipeline development, data governance, data security and quality across marketing and menu-related datasets.
 </li>
 <li>
 Ensure scalability, maintainability, and quality of data systems powering menu item tracking, promotion data, and marketing analytics.
 </li>
 <li>
 Staying up to date with emerging data engineering technologies, trends, and best practices, and evaluating their applicability to meet evolving Product Mix analytics needs.
 </li>
 <li>
 Documenting data engineering processes, workflows, and solutions for knowledge sharing and future reference.
 </li>
 <li>
 Mentor and coach junior data engineers, particularly in areas related to menu item tracking, promotion data, and marketing analytics.
 </li>
 <li>
 Ability and flexibility to coordinate and work with teams distributed across time zones, as needed
 </li>
 </ul>
 
 
 
 
 
 Skill:
 
 
 <ul>
 <li>
 Leads teams to drive scalable data engineering practices and technical excellence within the Menu Data ecosystem.
 </li>
 <li>
 Bachelor's or master's degree in computer science or related engineering field and deep experience with Cloud computing
 </li>
 <li>
 5+ years of professional experience in data engineering or related fields
 </li>
 <li>
 Proficiency in Python, Java, or Scala for data processing and automation
 </li>
 <li>
 Hands-on experience with data orchestration tools (e.g., Apache Airflow, Luigi) and big data ecosystems (e.g., Hadoop, Spark, NoSQL)
 </li>
 <li>
 Expert knowledge of Data quality functions like cleansing, standardization, parsing, de-duplication, mapping, hierarchy management, etc.
 </li>
 <li>
 Ability to perform extensive data analysis (comparing multiple datasets) using a variety of tools
 </li>
 <li>
 Proven ability to mentor team members and lead technical initiatives across multiple workstreams
 </li>
 <li>
 Effective communication and stakeholder management skills to drive alignment and adoption of data engineering standards
 </li>
 <li>
 Demonstrated experience in data management &amp; data governance capabilities
 </li>
 <li>
 Familiarity with data warehousing principles and best practices.
 </li>
 <li>
 Excellent problem solver - use of data and technology to solve problems or answer complex data related questions
 </li>
 <li>
 Excellent collaboration skills to work effectively in cross-functional teams.
 </li>
 </ul>
 
 
 
 
 
 Work location:
 
 Hyderabad, India
 
 
 
 Work pattern:
 
 Full time role.
 
 
 
 Work mode:
 
 Hybrid.
 
</div>

Data Engineer III [T500-20271]

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