software engineer

data analyst

data analyst l4

data engineer

data scientist

big data engineer

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
 <ul>
 <li>
 As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.
 </li>
 <li>
 Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.
 </li>
 <li>
 In this role, your responsibilities may include:
 </li>
 <li>
 Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques
 </li>
 <li>
 Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements
 </li>
 <li>
 Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviour&rsquo;s.
 
 
 </li>
 </ul>
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
 </li>
 <li>
 Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another
 </li>
 <li>
 Document solution architectures, design decisions, implementation details, and lessons learned.
 </li>
 <li>
 Stay up to date with the latest trends and advancements in AI, foundation models, and large language models.
 </li>
 <li>
 Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Experience and working knowledge in COBOL &amp; JAVA would be preferred
 </li>
 <li>
 Having experience in Code generation, code matching &amp; code translation leveraging LLM capabilities would be a Big plus
 </li>
 <li>
 Demonstrate a growth mindset to understand clients' business processes and challenges
 </li>
 </ul>
</div>

Data Scientist-Advanced Analytics

Sutherland

<div>
 
 Interested suitable candidates please be in touch with priti.kumari@sutherlandglobal.com
 
 
 
 
 
 Detailed Job Description:
 
 
 
 
 
 Excellent communication
 
 
 Exp-6+ years
 
 
 Location- Mumbai/Hyderabad/Bangalore/Chennai/Bhopal
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and maintain RESTful and GraphQL APIs to support scalable, high-performance applications.
 </li>
 <li>
 Collaborate with data engineers and developers to create seamless integrations between APIs, data pipelines, and web applications.
 </li>
 <li>
 Build and maintain applications using frameworks like Java Spring Boot, Hibernate, Python Fast API, and ReactJS.
 </li>
 <li>
 Ensure system scalability, security, and reliability by implementing best practices in multi-threading, concurrency, and microservices architecture.
 </li>
 <li>
 Drive architectural decisions to optimize performance across application, data, and infrastructure domains.
 </li>
 <li>
 Develop and deploy solutions on Azure, utilizing tools like SQL Server, Redis, App Services, and API Management.
 </li>
 <li>
 Create and maintain test automation frameworks to ensure data quality and service reliability.
 </li>
 <li>
 Mentor junior engineers and foster a collaborative team environment.
 </li>
 </ul>
 
 
 Job Qualifications
 
 
 
 
 
 
 
 Essential Qualifications:
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer engineering, Computer Science or related discipline, Master&rsquo;s Degree preferred
 </li>
 <li>
 7+ years of software development experience in Big Data
 </li>
 <li>
 7+ years of experience in modern programming languages - Java, Java-based frameworks (Spring, Maven), Python API
 </li>
 <li>
 3+ Years of experience in application, data, and infrastructure architecture disciplines
 </li>
 <li>
 3+ years of experience with multi-threading, concurrency, and highly scalable Microservices and REST web Services
 </li>
 <li>
 Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals
 </li>
 <li>
 Extensive experience with message driven software patterns such as Service Bus, Kafka, Tibco, EMS, and MQ
 </li>
 </ul>
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Experience working with other public cloud technologies Azure, AWS, GCP
 </li>
 <li>
 Strong communication skills to effectively present complex technical solutions to business and technical stakeholders.
 </li>
 <li>
 Experience in scripting languages (e.g., JavaScript, PowerShell, shell scripting, Regex).
 </li>
 <li>
 Experience building and supporting AL/ML software solutions
 </li>
 </ul>
 
 Prior experience in the Life Sciences industry or working with data and analytics in a similar
 
 
 
</div>

Software Engineer

Matillion

<div>
 
 
 Ready to shape the future of data?
 
 
 
 
 
 Matillion is the intelligent data integration platform.
 
 
 
 
 
 
 
 We're changing how the world works with data &ndash; and we need driven, curious people who think big and move fast.&nbsp;
 
 
 
 
 
 
 
 We built the
 
 Data Productivity Cloud
 
 to supercharge data productivity, and now we&rsquo;re shaping the future of data engineering with
 
 Maia
 
 &ndash; our AI-powered virtual data engineers that help teams design, build, and manage data pipelines at unmatched speed.
 
 
 
 
 
 
 
 Join #TeamGreen, where the mission comes first, collaboration drives us forward, and everyone pulls in the same direction to make a dent in the universe bigger than ourselves.
 
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 
 This is the definitive performance ownership role for the Matillion Data Productivity Cloud, where you will act as the technical expert who sees the entire system end-to-end. Your mission is to define, drive, and deliver the performance strategy across the platform&rsquo;s control plane, data plane, agents, workflow engines, APIs, and UI to ensure it is fast, predictable, and resilient at massive scale.
 
 
 
 
 
 You will thrive in a large-scale, multi-region environment with a hybrid SaaS model, cutting through complexity to build a clear performance narrative that drives tangible engineering outcomes. This critical leadership role directly shapes both the customer experience and the company&rsquo;s bottom line by ensuring the platform remains efficient and stable as we continue our aggressive growth trajectory.
 
 
 
 
 
 
 What you will be doing
 
 <ul>
 <li>
 Define and drive the Performance Vision and Strategy, establishing clear, measurable targets for latency, throughput, cost efficiency, and workload scalability across the Data Productivity Cloud
 
 </li>
 </ul>
 <ul>
 <li>
 Conduct deep-dive profiling and complex root cause analysis across distributed systems, investigating API latency, memory/CPU pressure, queue back-pressure, and network bottlenecks
 
 </li>
 </ul>
 <ul>
 <li>
 Build, maintain, and own repeatable, scalable benchmarking frameworks covering agent performance, concurrency, workflow orchestration throughput, and end-to-end user journeys
 
 </li>
 </ul>
 <ul>
 <li>
 Drive significant Cost Performance and Efficiency improvements by utilizing telemetry and empirical data to reduce runtime operational costs (compute, memory, storage, network)
 
 </li>
 </ul>
 <ul>
 <li>
 Act as the technical performance expert to influence feature design, technical architecture, and implementation patterns across engineering teams to prevent regressions and embed performance guardrails
 
 </li>
 </ul>
 
 
 
 
 What we are looking for
 
 <ul>
 <li>
 Proven experience as a Principal Engineer specializing in performance for large distributed systems, ideally within a high-growth SaaS or data platform environment
 
 </li>
 </ul>
 <ul>
 <li>
 Deep expertise in Java and Spring Boot, with strong JVM performance engineering skills, including GC tuning, heap/thread optimization, and low-latency design
 
 </li>
 </ul>
 <ul>
 <li>
 Strong systems-level understanding of technologies like Kubernetes, container runtimes, Python performance, network behavior, and cloud architecture (AWS)
 
 </li>
 </ul>
 <ul>
 <li>
 The ability to influence engineers across teams without direct authority, shaping architecture, patterns, threading models, and concurrency to eliminate bottlenecks
 
 </li>
 </ul>
 <ul>
 <li>
 Expertise with modern observability stacks (e.g., OTel, Prometheus, Grafana, Datadog) and hands-on experience designing and running meaningful load, chaos, and stress scenarios
 
 </li>
 </ul>
 
 
 
 
 
 
 
 At Matillion, we&rsquo;re here to do something hard - change the way the world works with data, and build a great company along the way. Big, bold goals aren&rsquo;t for the faint-hearted, and we don&rsquo;t shy away from them. But we don&rsquo;t do it alone. No egos, no politics - just great people working together, guided by our six core values;
 
 
 
 
 
 
 
 - Confidence without arrogance
 
 
 
 
 - Working with integrity
 
 
 
 
 - Customer obsessed
 
 
 
 
 - Innovate and demand quality
 
 
 
 
 - Bias for action
 
 
 
 
 - We care
 
 
 
 
 
 
 
 We operate a flexible working culture that promotes work-life balance, with benefits including:
 
 
 
 
 
 
 
 - Company Equity
 
 
 
 
 - 27 days paid time off
 
 
 
 
 - 12 days of Company Holiday
 
 
 
 
 - 5 days paid volunteering leave
 
 
 
 
 - Group Mediclaim (GMC)
 
 
 
 
 - Enhanced parental leave policies
 
 
 
 
 - MacBook Pro
 
 
 
 
 - Access to various tools to aid your career development
 
 
 
 
 
 
 
 
 More about Matillion
 
 
 
 
 
 Thousands of enterprises including
 
 Cisco
 
 ,
 
 London Stock Exchange Group
 
 ,
 
 EDF
 
 and
 
 Slack
 
 trust Matillion for a wide range of use cases from insights and operational analytics, to data science, machine learning and AI. We are a truly global workforce, dual headquartered in Manchester, UK and Denver, Colorado, with expanding offices in Hyderabad, India, along with valuable remote colleagues around the world.&nbsp;
 
 
 
 
 
 
 
 We are keen to hear from prospective Matillioners, so even if you don't feel you match all the criteria please apply and a member of our Talent Acquisition team will be in touch. Alternatively, if you're interested in Matillion but don't see a suitable role, please email talent@matillion.com.
 
 
 
 
 
 
 
 Find out more about life on #TeamGreen
 
 here
 
 .&nbsp;
 
 
 
 
 
 
 
 Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.&nbsp;
 
 
 
 
</div>

Principal Performance Engineer

<div>
 
 Introduction
 
 
 
 IBM&rsquo;s Industry Consultants are essential to our clients as they work to reinvent themselves for the future. Join our highly visible and highly skilled team of global consultants as we strive to accelerate sales, deliver client engagements, and build IBM&rsquo;s market eminence. If you are a forward-thinker and a curious intellectual, we welcome you to apply for your next exciting career challenge.
 
 
 
 Your Role And Responsibilities
 
 
 
 <ul>
 <li>
 Hands on coding to develop the next generation data processing platform.
 </li>
 <li>
 Actively support the co-creators and contributors using the platform.
 </li>
 <li>
 Experience in all areas of application development &ndash; Design, Coding, CI/CD pipelines, Unit Test.
 </li>
 <li>
 Self-learn any new technology required in platform development.
 </li>
 <li>
 Strong understanding of object-oriented design principles
 </li>
 <li>
 Familiarity will multiple programming languages (at least one statically typed and one dynamically typed) such as Java and Python
 </li>
 <li>
 Experience in xUnit testing. Comfort working with mocks, stubs, fakes, etc. and the experience to know when to use each.
 </li>
 <li>
 Experience following rigid style guidelines including appropriately documenting code
 </li>
 <li>
 Knowledge of data structure algorithms and complexity analysis
 </li>
 <li>
 Experience working with concurrent programming (multi-thread, -process, or -worker architectures)
 </li>
 <li>
 Ability to perform code reviews on peer development to ensure they follow best practices and proper style
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Bachelor's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Hands-on Core Java, OOAD, Design Patterns, Data Structures and Algorithms. Develop both end-user applications, APIs services and libraries. Hands on experience in Product Development projects.
 </li>
 <li>
 Experience in Microservices (gRPC/REST), Docker, Kubernetes, IDL (Protobuf, Thrift etc.), NoSQL databases, Big Data is a plus. Familiarity with Git and Linux.
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Take ownership in solving problems and delivering results
 </li>
 <li>
 Experience writing user stories and breaking stories down into tasks and sub-tasks
 </li>
 <li>
 Consistently willing to learn and improve
 </li>
 </ul>
</div>

Software Developer Intern

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
 As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders.
 
 
 
 In Your Role, You May Be Responsible For
 
 
 
 <ul>
 <li>
 Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data &amp; incorporating machine learning. techniques in your projects
 </li>
 <li>
 Writing programs to cleanse and integrate data in an efficient and reusable manner
 </li>
 <li>
 Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors
 </li>
 <li>
 Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions.
 </li>
 <li>
 Evaluating modelling results and communicating the results to technical and non-technical audiences
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
 </li>
 <li>
 Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
 </li>
 <li>
 Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC
 </li>
 <li>
 Document solution architectures, design decisions, implementation details, and lessons learned.
 </li>
 <li>
 Create technical documentation, white papers, and best practice guides
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face.
 </li>
 <li>
 Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms
 </li>
 <li>
 Experience and working knowledge in COBOL &amp; JAVA would be preferred
 </li>
 </ul>
</div>

Data Scientist-Artificial Intelligence

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent practical experience.
 </li>
 <li>
 4 years of experience in data analytics, trust and safety, policy, cybersecurity, or related fields.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 4 years of experience in data analytics, access and authentication management, cybersecurity, technology research, anti-abuse, or related fields.
 </li>
 <li>
 Experience in SQL, building dashboards, data collection and transformation, statistical modeling, visualization and dashboards, or a scripting or programming language (e.g., Python, Java, C++).
 </li>
 <li>
 Excellent written and verbal communication skills.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Trust &amp; Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what&rsquo;s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.
 
 
 As a Data Analyst, you will be responsible for designing, developing, and maintaining trust and safety access and security systems, ensuring that security objectives are met without compromising operational efficiency. You will be designing and implementing seamless integrations between business goals and security systems, which includes developing and executing strategies to enhance system effectiveness. You will also manage complex projects with multiple stakeholders, stringent deadlines, and significant organizational implications, requiring a high degree of adaptability to changing circumstances. You will have an understanding of the process area, encompassing domain expertise in data sources, access and authentication methods, relevant products, potential issues, interconnected systems, Google-wide business projects, and advanced methodologies such as data extraction and pipeline building.
 
 
 At Google we work hard to earn our users&rsquo; trust every day. Trust &amp; Safety is Google&rsquo;s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google&rsquo;s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain trust and safety access and security systems, ensuring security objectives are met without compromising operational efficiency.
 </li>
 <li>
 Design and implement seamless integrations between business goals and security systems, including developing and executing strategies to support system effectiveness.
 </li>
 <li>
 Manage projects involving multiple stakeholders, stringent deadlines, significant organizational implications, and requiring adaptability to changing circumstances.
 </li>
 <li>
 Demonstrate an understanding of the process area, including domain expertise in data sources, access and authentication methods, relevant products, potential issues, interconnected systems, Google-wide business projects, and investigative methodologies (e.g., extracting data, building data pipelines).
 </li>
 <li>
 Create anomaly detection pipelines, monitor and analyze systems for scaled abuse detection and user access monitoring and reduce risk to the enterprise.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Data Analyst, Risk

Procter & Gamble

<div>
 
 Job Location
 
 
 
 HYDERABAD OFFICE APAC
 
 
 
 Job Description
 
 
 
 Procter &amp; Gamble is one of the largest FMCG (Fast Moving Consumer Goods) company in the world with strong brands like Pampers, Ariel, Always, Gillette and Oral B just to name a few. For more information about P&amp;G the company and our brands please visit www.pg.com and our career website at pgcareers.com
 
 
 
 Are
 
 
 you
 
 
 ready
 
 
 to
 
 
 unleash
 
 
 your
 
 
 technical
 
 
 creativity?
 
 
 
 Innovation is the driving effort behind everything we do at P&amp;G. Across the world, you will find thousands of scientists, engineers and developers working in manufacturing plants, innovation centers and distribution facilities.
 
 
 
 Overview Of The Job
 
 
 
 This role reports to IT Director and will be located in India with the broader Data Engineering Team.
 
 
 
 Your team
 
 
 
 
 About The Data Solutions &amp; Engineering Team
 
 
 
 We take pride in managing the most-valuable asset of company in Digital World, called Data. Our vision is to deliver Data as a competitive advantage for our Business, by building unified data platforms, delivering customized BI tools for managers &amp; empowering insightful business decisions through AI in Data.
 
 
 In this role, you'll be constantly learning, staying up to date with industry trends and emerging technologies in data solutions. You'll have the chance to work with a variety of tools and technologies, including big data platforms, machine learning frameworks, and data visualization tools, to build innovative and effective solutions.
 
 
 So, if you're excited about the possibilities of data, and eager to make a real impact in the world of business, a career in data solutions might be just what you're looking for. Join us and become a part of the future of digital transformation.
 
 
 
 About P&amp;G IT
 
 
 
 Digital is at the core of P&amp;G&rsquo;s accelerated growth strategy. With this vision, IT in P&amp;G is deeply embedded into every critical process across business organizations comprising 11+ category units globally creating impactful value through Transformation, Simplification &amp; Innovation. IT in P&amp;G is sub-divided into teams that engage strongly for revolutionizing the business processes to deliver exceptional value &amp; growth - Digital GTM, Digital Manufacturing, Marketing Technologist, Ecommerce, Data Sciences &amp; Analytics, Data Solutions &amp; Engineering, Product Supply.
 
 
 
 Responsibilities Of The Role
 
 
 
 <ul>
 <li>
 Understand the business requirements and convert into technical design of data pipelines and data models
 </li>
 <li>
 Write code to ingest, transform and harmonize raw data into usable refined models
 </li>
 <li>
 Analyze multiple data sets associated with the use cases in-scope in order to effectively design and develop the most optimal data models and transformation
 </li>
 <li>
 Craft integrated systems, implementing ELT/ ETL jobs to fulfil business deliverables.
 </li>
 <li>
 Performing sophisticated data operations such as data orchestration, transformation, and visualization with large datasets.
 </li>
 <li>
 Coordinate with data asset managers, architects, and development team to ensure that the solution is fit for use and are meeting vital architectural requirements.
 </li>
 <li>
 Demonstrate standard coding practices to ensure delivery excellence and reusability
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 A wide range of challenging manufacturing/engineering assignments in one of the most influential companies in the world. We don&rsquo;t just offer a job; we offer a career with varying assignments and lots of development opportunities
 </li>
 <li>
 An opportunity for you to develop and deliver state of the art technologies supported by multi-million capital investments.
 </li>
 <li>
 Travel opportunities to the project locations to see your design come to life
 </li>
 <li>
 Continuous coaching&ndash; you will work with passionate people and receive both formal training as well as day-to-day mentoring from your coach and manager
 </li>
 <li>
 Dynamic and respectful international work environment&ndash; employees are at the core, we value every individual and encourage initiatives, promoting agility and work/life balance.
 </li>
 <li>
 A competitive compensation package, in line with your qualifications and experience
 
 
 </li>
 </ul>
 
 Job Qualifications
 
 
 
 
 Role Requirements
 
 
 
 <ul>
 <li>
 At least 3 years of experience in Data Engineering
 </li>
 <li>
 Hands-on experience in building data models, data pipelines, data ingestion, harmonization along with data governance.
 </li>
 <li>
 Hands-on experience in scripting language like Python, R or Scala
 </li>
 <li>
 Backend Development expertise on SQL Database, SQL Data Warehouse or any data warehousing solutions in cloud
 </li>
 <li>
 Hands-on experience of reporting tools like Power BI or Tableau
 </li>
 <li>
 Knowledge in DevOps Tools and CICD tools (e.g. Azure DevOps and Github)
 </li>
 <li>
 Knowledge in cloud technologies (Azure Cloud) &ndash; at least 2 years inclusive of software engineering experience.
 </li>
 <li>
 Cloud Native application development using Angular and .Net.
 </li>
 <li>
 Knowledge in Agile or Scrum methodologies with proven track record of successful projects
 </li>
 <li>
 Graduate of Engineering or IT related course
 
 
 </li>
 </ul>
 
 Just So You Know
 
 
 
 We are an equal opportunity employer and value diversity at our company. Our mission of Diversity and Inclusion is: &ldquo;Everyone valued. Everyone included. Everyone performing at their peak&rdquo;.
 
 
 
 
 At P&amp;G, the hiring journey is personalized every step of the way, thereby ensuring equal opportunities for all, with a strong foundation of Ethics &amp; Corporate Responsibility guiding everything we do.
 
 
 
 
 
 
 All the available job opportunities are posted either on our website - pgcareers.com, or on our official social media pages, for the convenience of prospective candidates, and do not require them to pay any kind of fees towards their application.&rdquo;
 
 
 
 
 
 Job Schedule
 
 
 
 Full time
 
 
 
 Job Number
 
 
 
 R000137874
 
 
 
 Job Segmentation
 
 
 
 Experienced Professionals
</div>

Data Engineer

Explore 112+ Big data engineer in Hyderabad this January. Find roles across top companies and apply now to boost your career.