software engineer

data scientist

software development engineer Jobs in Hyderabad

software development engineer

data analyst

data analyst - l3

big data 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]

<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.
 
 
 
 
 
 
 Who we are looking for:
 
 
 
 
 Primary Responsibilities:
 
 
 <ul>
 <li>
 Builds and maintains relevant and reliable data products that support Finance 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 and data engineering initiatives supporting Finance Analytics, ensuring timely and accurate delivery of financial data products.
 </li>
 <li>
 Drive and implement best Data Engineering practices for pipeline development, data governance, data security and quality across financial datasets.
 </li>
 <li>
 Implement security and privacy controls in data workflows, ensuring compliance with finance regulatory requirements.
 </li>
 <li>
 Monitor, troubleshoot, and improve performance and reliability of existing finance data pipeline infrastructure.
 </li>
 <li>
 Staying up to date with emerging data engineering technologies, trends, and best practices, and evaluating their applicability to meet evolving financial analytics needs.
 </li>
 <li>
 Documenting data engineering processes, workflows, and solutions for knowledge sharing and future reference.
 </li>
 <li>
 Partner and collaborate with data engineers, particularly in finance-centric data models and processing frameworks.
 </li>
 <li>
 Ability and flexibility to coordinate and work with teams distributed across time zones, as needed.
 </li>
 </ul>
 
 
 
 
 
 Skill:
 
 
 
 Applies technical data engineering expertise to develop reliable pipelines and improve data quality in support of finance and analytics initiatives
 
 <ul>
 <li>
 Bachelor's or master's degree in computer science or related engineering field and deep experience with Cloud computing
 </li>
 <li>
 3+ 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>
 Good working 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>
 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 hours:
 
 
 
 
 
 
 Work pattern:
 
 Full time role.
 
 
 
 Work mode:
 
 Hybrid.
 
</div>

Data Engineer II [T500-20274]

<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 Senior Engineer at the G5 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 Finance, Franchising &amp; Development function with a specific focus on the Finance Analytics product and initiatives. As a Senior 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 financial data, supports decision-making, and partners with business and technology teams to align data capabilities with strategic finance objectives. Expertise in cloud computing platforms, technologies and data engineering best practices will play a crucial role within this domain.
 
 
 
 
 
 
 Who we&rsquo;re looking for:
 
 
 
 
 Primary Responsibilities:
 
 
 <ul>
 <li>
 Builds and maintains relevant and reliable data products that support Finance Analytics. Develops and implements new technology solutions as needed to ensure ongoing improvement with data reliability and observability in-view.
 </li>
 <li>
 Develop strategies for scaling Financial Analytics data products across the organization, ensuring solutions are adaptable and future-ready
 </li>
 <li>
 Act as the technical subject matter expert (SME) for development squads, providing guidance on architecture, design, and best practices
 </li>
 <li>
 Ensure data quality and integrity through audits, validation processes as per financial regulations per country, and governance frameworks.
 </li>
 <li>
 Collect feedback from business stakeholders and end-users to continuously improve financial data products and align with evolving business requirements.
 </li>
 <li>
 Collaborate with cross-functional teams to ensure data solutions are aligned with business and financial analytical needs.
 </li>
 <li>
 Lead and manage a team of data engineers, providing mentorship, guidance, and technical direction.
 </li>
 <li>
 Ensure comprehensive documentation for each financial data product, covering technical specifications, use cases, and performance metrics
 </li>
 <li>
 Stay updated with emerging technologies, trends in data engineering and bring relevant advancements / adoption of tools that enhance product development and delivery in Finance Analytics.
 </li>
 <li>
 Regularly report on portfolio progress, performance metrics, and project statuses to executive leadership and key stakeholders.
 </li>
 <li>
 Conduct performance reviews, coach team members, and support career development initiatives.
 </li>
 <li>
 Champion upskilling and training across the engineering team to ensure continued excellence in delivering finance-related solutions.
 </li>
 <li>
 Ability and flexibility to coordinate and work with teams distributed across time zones, as needed.
 </li>
 </ul>
 
 
 
 
 
 Skill:
 
 
 <ul>
 <li>
 Provides technical leadership and drives operational excellence across Finance Analytics data engineering initiatives
 </li>
 <li>
 Bachelor's degree or higher in Computer Science, Engineering, or a related field
 </li>
 <li>
 8+ years of professional experience in data engineering or related domains
 </li>
 <li>
 4+ years of AWS or GCP experience
 </li>
 <li>
 Proficient in programming languages (e.g., Python, Java, Scala) and data pipeline orchestration (e.g., Apache Airflow, Luigi)
 </li>
 <li>
 Strong experience with distributed systems, big data platforms, and data storage technologies (e.g., Hadoop, Spark, NoSQL)
 </li>
 <li>
 Strong knowledge in data architecture, cloud platforms, data pipelines, and software development best practices
 </li>
 <li>
 Proven success in managing and scaling data engineering teams in complex environments
 </li>
 <li>
 Ability to convey complex technical concepts to non-technical stakeholders and report on project progress effectively
 </li>
 <li>
 Ability to manage ad hoc demands along with organizational priorities and set realistic expectations.
 </li>
 <li>
 A self-initiated influencer, Systems thinker and strong stakeholder management.
 </li>
 <li>
 Exceptional problem-solving and innovation skills with a strategic mindset.
 </li>
 </ul>
 
 
 
 
 
 Work location:
 
 Hyderabad, India
 
 
 
 Work pattern:
 
 Full time role.
 
 
 
 Work mode:
 
 Hybrid
 
</div>

Senior Manager, Data Engineering [T500-20275]

The Hackett Group Inc.

<div>
 
 
 Job Description
 
 
 
 Senior Consultant is responsible for supporting and enhancing the existing on-premise BI environment and developing cloud BI stack. Tasks range from database maintenance and support to general BI development, including ETL and Visualizations. Must have the ability to work on end-to-end BI solution design and delivery.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 D
 
 esign and implementation
 
 of scalable data warehouse and BI solutions on Azure.
 </li>
 <li>
 Drive the development of
 
 Power BI dashboards and analytics solutions
 
 aligned with business KPIs and executive reporting needs.
 </li>
 <li>
 Collaborate with stakeholders to
 
 define reporting requirements
 
 and translate them into efficient BI solutions.
 </li>
 <li>
 Oversee and optimize
 
 ETL/ETL pipelines
 
 for performance, scalability, and cost-efficiency.
 </li>
 <li>
 Drive the use of
 
 scripting and automation
 
 to streamline data workflows and monitoring.
 </li>
 <li>
 Collaborate with teams to integrate
 
 Big Data technologies
 
 into BI/DWH solutions.
 </li>
 <li>
 Ensure
 
 data quality, governance, and compliance
 
 across all reporting layers.
 </li>
 <li>
 Proactively identify opportunities to
 
 improve reporting processes and data warehouse architecture
 
 .
 </li>
 <li>
 Act as a
 
 trusted advisor
 
 for BI strategy, suggesting best practices and emerging tools in the Azure ecosystem.
 </li>
 </ul>
 
 
 
 
 
 Essential Skills
 
 
 
 Technical
 
 <ul>
 <li>
 
 Data Warehousing (DWH)
 
 &ndash; design, architecture, and implementation
 </li>
 <li>
 
 Azure Synapse Analytics / Azure Data Warehouse
 
 </li>
 <li>
 
 Power BI
 
 &ndash; data modeling, DAX, dashboard/report design, optimization
 </li>
 <li>
 
 SQL
 
 &ndash; advanced querying, optimization, stored procedures, performance tuning
 </li>
 <li>
 
 Database Knowledge
 
 &ndash; relational models, indexing, schema design
 </li>
 <li>
 
 ETL/ELT Tools &amp; Pipelines
 
 &ndash; data integration and orchestration
 </li>
 <li>
 
 Data Modeling
 
 &ndash; star schema, snowflake schema, SCDs, fact/dimension design
 </li>
 <li>
 
 Data Governance &amp; Security
 
 &ndash; role-based access, compliance best practices
 </li>
 <li>
 
 Cloud Ecosystem (Azure)
 
 &ndash; storage, compute, and analytics services
 </li>
 <li>
 
 Scripting languages
 
 such as
 
 Python, Shell, or PowerShell
 
 for automation and data handling.
 </li>
 <li>
 Exposure to
 
 Big Data technologies
 
 (e.g., Spark, Databricks, Hadoop ecosystem).
 </li>
 </ul>
 
 
 
 
 Personal
 
 <ul>
 <li>
 
 Stakeholder Management
 
 &ndash; engage with business users to gather and translate requirements into BI solutions
 </li>
 <li>
 
 Communication Skills
 
 &ndash; ability to explain technical concepts to non-technical stakeholders clearly
 </li>
 <li>
 
 Analytical Thinking
 
 &ndash; strong problem-solving mindset with focus on business outcomes
 </li>
 <li>
 
 Collaboration
 
 &ndash; work effectively with cross-functional teams (Business, IT, Data Engineering)
 </li>
 <li>
 
 Project Ownership
 
 &ndash; ability to manage end-to-end delivery with accountability for timelines and quality
 </li>
 <li>
 
 Adaptability
 
 &ndash; stay updated with emerging BI and cloud technologies, driving innovation in solutions
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills
 
 
 
 Job
 
 <ul>
 <li>
 Knowledge of Oracle modules/tables: Financials, HR, Projects
 </li>
 <li>
 Knowledge of OTBI Subject Areas/BI Publisher
 </li>
 <li>
 Understanding of Financial Concepts is a plus
 </li>
 </ul>
 
 Personal
 
 <ul>
 <li>
 Demonstrate proactive thinking
 </li>
 <li>
 Should have strong interpersonal relations and business acumen
 </li>
 <li>
 Negotiation and persuasion skills are required to work with partners and implement changes
 </li>
 <li>
 A very inquisitive mind that can factor in several variables acting on the situation
 </li>
 </ul>
 
 
</div>

Senior ETL Consultant

Nagarro

<div>
 
 Company Description
 
 
 
 
 👋🏼
 
 
 We're Nagarro
 
 .
 
 
 We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale &mdash; across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!
 
 
 
 Job Description
 
 
 
 
 REQUIREMENTS:
 
 
 
 <ul>
 <li>
 Total Experience 11+years.
 </li>
 <li>
 Extensive IT services and product industry experience, specializing in technology-led projects for clients in manufacturing, industrial, engineering, chemicals, food &amp; beverages, consumer goods, agriculture, building materials, and consumer electronics.
 </li>
 <li>
 Expertise in least three of the following technologies: Business Intelligence, Big Data, Data Science, Artificial Intelligence, Mobile Applications, Cloud, UI/UX Design, Enterprise Software (SAP/Infor/MS Dynamics), MES, Salesforce, Digital Commerce.
 </li>
 <li>
 Strong consultative approach with the ability to understand the big picture and recommend optimal solutions.
 </li>
 <li>
 Proven experience in customer workshops, proposal management, and RFI/RFQ responses.
 </li>
 <li>
 Advanced skills in MS PowerPoint, Word, and Excel with excellent written and verbal English.
 </li>
 <li>
 Demonstrated ability to work in multi-stakeholder, global environments with strong conflict-resolution skills.
 </li>
 <li>
 Understanding of SDLC, project management methods, and resource planning.
 </li>
 <li>
 Experience in creating marketing materials and campaign strategies.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 
 
 </li>
 </ul>
 
 RESPONSIBILITIES:
 
 
 
 <ul>
 <li>
 Understanding the client&rsquo;s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
 </li>
 <li>
 Mapping decisions with requirements and be able to translate the same to developers.
 </li>
 <li>
 Identifying different solutions and being able to narrow down the best option that meets the client&rsquo;s requirements.
 </li>
 <li>
 Defining guidelines and benchmarks for NFR considerations during project implementation
 </li>
 <li>
 Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers
 </li>
 <li>
 Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
 </li>
 <li>
 Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
 </li>
 <li>
 Understanding and relating technology integration scenarios and applying these learnings in projects
 </li>
 <li>
 Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
 </li>
 <li>
 Carrying out POCs to make sure that suggested design/technologies meet the requirements.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Bachelor&rsquo;s or master&rsquo;s degree in computer science, Information Technology, or a related field.
</div>

Associate Principal Consultant, Support Preasales

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

Microsoft

<div>
 Are you passionate about shaping the future applications of AI and empowering millions of users to unlock their full potential? The OneNote team is at the forefront of an exciting transformation with Copilot Notebooks: intelligent, dynamic notebooks infused with powerful AI that act as a true "second brain." Imagine effortlessly capturing ideas, intuitively understanding complex information, and seamlessly taking informed action. This is the heart of our mission.
 
 
 We plan to build transformational experiences in Copilot notebook and are looking to hire a
 
 Software Engineer II
 
 in the OneNote Web team. The problems we solve will include building a multitude of grounding capabilities, creation of richer artefacts, multi-modal capture support, and above all building agent support on top of Copilot notebooks. The problems will also encompass deep architectural improvements to optimize performance and increase reliability. We plan to build these experiences at scale across all Web and mobile platforms and will continue to use the best-in-class infrastructure that boosts developer productivity &amp; engineering velocity.
 
 
 We are looking for creative problem solvers and diverse thinkers, people who care about culture as well as customers and features.  We believe that how we do things is at least as important as what we do.  Big vision, a common purpose, passion for quality, curiosity as well as grit, and investment in fun and collaboration are what lead to great results.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and implementation of high-quality features/experiences in an iterative and rapid manner.
 </li>
 <li>
 Demonstrate passion for quality with customer empathy.
 </li>
 <li>
 Demonstrate ownership and technical expertise of product areas.
 </li>
 <li>
 Be self-motivated to identify and fix gaps in our product/engineering stack.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <ul>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 Full stack experience in Web technologies.
 </li>
 <li>
 Proficiency in one of the following languages - TypeScript, JS, C#, or Java.
 </li>
 <li>
 Strong problem solving, debugging, and troubleshooting skills.
 </li>
 <li>
 Working in agile teams with strong customer focus.
 </li>
 <li>
 Good communication and cross group collaboration skills.
 </li>
 <li>
 Experience in Cloud and distributed systems is a big plus.
 
 </li>
 </ul>
 
 Other Requirements
 
 
 
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
 
 
 <ul>
 <li>
 Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science
 </li>
 <ul>
 <li>
 OR related technical field AND 4+ year(s) technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <li>
 OR Master's Degree in Computer Science or related technical field with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <li>
 OR equivalent experience.
 
 </li>
 </ul>
 </ul>
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Software Engineer (WEB)

Explore 100+ Big data engineer in Hyderabad this September. Find roles across top companies and apply now to boost your career.