Job description We are looking for an experienced Senior Data Analyst with a strong background in the Internet Service Provider (ISP) domain, specializing in the analysis of SD-WAN data and security device alerts. This role is central to leveraging AI and Machine Learning for anomaly detection, predictive analytics, and performance optimization across large-scale ISP networks. You will play a critical role in transforming raw network and security data into actionable intelligence that improves uptime, customer experience, and security resilience. Key Responsibilities: Analyze high-volume data from SD-WAN components, routers, switches, and ISP-grade security appliances (e.g., firewalls, IDS/IPS, DDoS mitigation tools). Correlate network performance issues and security alerts to uncover patterns, detect anomalies, and support incident prevention. Design and implement AI/ML models for predictive maintenance, fault detection, traffic behavior analysis, and threat intelligence. Conduct root cause analysis (RCA) for network outages, degradations, and security incidents affecting customer services. Collaborate closely with NOC and SOC teams to deliver actionable insights for proactive monitoring and alerting. Develop and maintain visualizations and dashboards (e.g., using Grafana, Power BI, Tableau) to report on key metrics and trends. Ensure data quality, accuracy, and consistency across all network and security data sources. Identify data-driven opportunities for improving network performance, security posture, and customer satisfaction. Stay updated on industry best practices in AI/ML applications for ISP operations and cybersecurity. Primary Skills Bachelors or Masters degree in Data Science, Computer Science, Network Engineering, or a related field. 6+ years of experience in data analysis, with at least 3 years in the ISP or networking domain. Strong knowledge of ISP network architecture, SD-WAN, BGP, DNS, DHCP, NAT, and other core protocols. Hands-on experience with analyzing logs and alerts from security devices such as Fortinet, Cisco, Juniper, or Palo Alto. Proficient in Python, SQL, and data analysis libraries (e.g., Pandas, NumPy, Scikit-learn). Practical experience with machine learning models for classification, clustering, anomaly detection, and time-series forecasting. Experience working with SIEM tools and large-scale log data (e.g., ELK Stack, Splunk). Strong problem-solving, critical thinking, and stakeholder communication skills. Preferred Qualifications: Background in large-scale ISP infrastructure monitoring and performance optimization. Familiarity with ISP platforms and services (e.g., DNS, CDN, PPPoE, IP Management). Experience with cloud networking tools (e.g., AWS/Azure network monitoring). Relevant certifications (e.g., CCNP, CompTIA Security+, AWS Certified Data Analytics). Exposure to big data tools (e.g., Spark, Hadoop) is a plus. Role: Database Analyst Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DBA / Data warehousing Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills sqldhcppythondata analysisdns scikit-learnispbgpnetworkingnumpysiemsddata sciencesparkhadoopprotocolsbig datacisconatwanpower bijunipermachine learningnetwork architecturepandastableaugrafanafortinetsplunkinternet

Job description 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. 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. - 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. Skills (competencies) Verbal Communication Role: Software Development - Other Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: B.Tech/B.E. in Any Specialization PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills software developmentsoftware designtechnical supportjavasoftware engineering c++pythonproject managementcwindows installationproductionbusiness analysissoftware installationsoftware troubleshootingcomputer hardwaremanufacturinghtml

Job description 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. 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. - 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. Role: Software Development - Other Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: B.Tech/B.E. in Any Specialization PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills software developmentsoftware designtechnical supportjavasoftware engineering c++pythonproject managementcwindows installationproductionbusiness analysissoftware installationsoftware troubleshootingcomputer hardwaremanufacturinghtml

Job description We seek an innovative professional with expertise in AI tools like Copilot to boost engineering productivity. The role involves identifying bottlenecks, proposing tailored GenAI solutions, and integrating them into networking product development to streamline workflows and drive AI adoption across teams. Technologies: ------------------- GenAI Algorithms, LLM's, NLP, Hugging Face, RAG, OpenAI models, Microsoft and GitHub Copilot, Agentic AI, AI-powered tools, Advanced python for Datascience, Flash , REST API, debugging tools, parser tools, troubleshooting and investigating capabilities. Required Qualifications: ------------------------ 2+ years using GitHub Copilot, OpenAI, and other AI coding tools to boost development productivity. 2+ years in GenAImodel design, fine-tuning, and deployment. 3+ years in Pythonbuilding AI/ML pipelines, automation tools, and data processing scripts. Hands-on experience applying GenAI/ML for code generation, summarization, workflow automation, and virtual assistants. Delivered AI-driven impact in 23 engineering projects. Ability to identify and develop use cases in BI, automation, and areas like smart troubleshooting and adaptive testing. Proficient in LLMs, NLP, and AI/ML for software and networking applications. Knowledge of integrating AI with platforms like Webex, Zoom, and Teams via APIs. Skilled in scripting, automation, and AI-augmented workflows. Experienced in Agile/Scrum. Strong problem-solving, communication, and mentoring skills; able to work independently and collaboratively. Desired Skills: ------------------ GitHub Copilot certification. Experience with networking products software development. Familiarity with CI/CD, DevOps, and automation tools. Understanding of responsible AI practices. Experience with data analysis and visualization for AI productivity. Knowledge of cloud-based AI services and integrations. Primary Skills GenAI, LLMs, AI Tools, Python Role: Search Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: B.Tech/B.E. in Any Specialization PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills pythonnatural language processingaimlartificial intelligenceml continuous integrationalgorithmsgithubdata analysisai solutionsdata processingci/cdnetworkinghuggingfaceautomation toolsdevopsscrumagileml pipelines

Job description Build, manage and optimize scalable and reliable infrastructure platforms. Collaborate with cross-functional teams to automate operations, ensure system resilience, and enable seamless deployment of applications. You would get an opportunity to work on a platform that scales to 10 billion minute meetings per month TechnologiesLinux , CentOs and Alma internals, serviceability , containerization, docker, CI/CD processes to support fast-paced development and delivery cycles. Required Qualifications: 3-5 years of experience in container orchestration platforms like Docker , Kubernetes is good to have. Linux Administration experience including deep understanding of Linux operating systems, serviceability, bootup process, bootloader installation and configuration (grub), shell scripting, and system-level troubleshooting. Version Control System Experience working with GitHub repositories, managing pull requests, branching strategies, GitHub Enterprise and automation using GitHub APIs or GitHub CLI. Experience in shell and python scripting for scripts . Understanidng of SQL databases like Informix , Musql Working knowledge of IP addressing, routing, DNS, and load balancing concepts. 2+ years of experience in designing and managing Continuous Integration/Continuous Delivery (CI/CD) pipelines using industry-standard tools. Experience in usage of monitoring/logging solutions Grafana , Kibana) and able to identify and debug system issues. Demonstrated ability to analyze issues, identify root causes, and implement effective solutions efficiently. Desired Skills: Strong collaboration skills to work closely with developers, DevOps, and operations teams. Experience in cloud platforms (AWS) and managing hybrid cloud environments. Exposure to security best practices and docker requirements in platform engineering. Strong coding skills in languages such as shell script / Python . Primary Skills Kubernetes, Docker, CICD pipeline, IaC, linux bootup process, bootloader installation & configuration (grub ), shell , python, Linux Administration, networking, network monitoring Role: Data Platform Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: B.Tech/B.E. in Any Specialization PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills kubernetespythonnetworkingdockerlinux continuous integrationgithubiacsqlcontinuous deliverynetwork monitoringlinux administrationgrafanabootloaderdevopsinstallationshell scriptingcontainer orchestrationawskibanaci cd pipeline

Job description 3-5 years of exp in test automation, specifically with Tosca. Tosca certification mandatory Strong understanding of software testing principles & methodologies - Grade Specific Exp in API Testing Exp in Database Role: Automation Test Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Quality Assurance and Testing Education UG: B.Tech/B.E. in Any Specialization PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills toscasoftware testingautomation testingsoftware engineeringapi testing c#csspythonsoftware developmentregression testingmanual testingselenium webdriverjavascriptsqlspringfunctional testingjavaseleniumhtmlmysqlapitestngjira

Job description This position will be part of Sapiens Digital (Data Suite) division, for more information about it, click here: We are looking for an enthusiastic Data Scientist with a foundational understanding of data science principles and an interest in the insurance industry. The role involves working alongside senior data scientists to analyze data, build models, and generate insights. What youll do: Data Collection & Preprocessing Assist in gathering, cleaning, and preprocessing data from various sources, ensuring data quality and consistency. Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights within the data. Model Development & Evaluation Building predictive models to enhance accuracy. Test and evaluate basic machine learning models, including linear and logistic regression, decision trees, and clustering algorithms. Reporting & Visualization Create clear and informative data visualizations and reports to communicate insights to business stakeholders. Tracking key metrics and performance indicators related to business objectives. Cross-functional Collaboration Collaborate with business and technical teams to understand project requirements and contribute to the design of data-driven solutions. Participate in team meetings, brainstorming sessions, and discussions on data science projects and initiatives. Research & Learning Stay updated on the latest trends and tools in data science, machine learning, and the insurance industry. Participate in ongoing training and development programs to enhance technical skills and industry knowledge. What to Have for this position. Must have Skills. Education: Bachelors degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. A Masters degree is a plus. Experience : 4+ years of experience in data science or analytics Basic Industry Knowledge: General understanding of insurance concepts (e.g., policies, claims, risk, customer lifecycle) is desirable but not required. Insurance Data Familiarity: Some experience working with structured data (e.g., customer demographics, policy details) and an eagerness to learn about the specific types of data used in the insurance industry. Predictive Models: Exposure to basic predictive modeling techniques such as regression, classification, forecasting or clustering. Experience with insurance-specific models (e.g., claims prediction, risk assessment) is a plus. Data Preparation: Knowledge of data cleaning and preprocessing techniques, with experience in handling datasets to prepare them for analysis. Programming Skills: Proficiency in Python for data analysis, with familiarity in using libraries such as Pandas, NumPy, and Scikit-learn. Data Manipulation: Basic skills in SQL for querying and extracting data from databases. Statistical Knowledge: Understanding of fundamental statistical concepts, including distributions, probability, hypothesis testing, and descriptive statistics. Required Soft Skills: Curiosity & Willingness to Learn: Enthusiastic about learning new concepts, techniques, and industry-specific knowledge in the insurance domain. Problem-Solving Skills: Ability to approach challenges analytically and think critically about data and project requirements. Attention to Detail: Keen eye for detail in data handling and model development to ensure high-quality outcomes. Communication Skills: Clear and concise communication skills, with the ability to present findings and insights effectively. Team Collaboration: Willingness to work collaboratively within a team, receiving and applying feedback from senior team members. Role: Data Scientist Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Data Science claims predictionrisk assessmentcustomer lifecycleScikit-learnData Collectionmachine learningdata visualizationsNumPyModel Developmentexploratory data ana

Job description Essential Functions As a Sr Data / ML Scientist you will help design, enhance, and build next generation fraud detection solutions in an agile development environment. Formulate business problems as technical data problems while ensuring key business drivers are captured in collaboration with product stakeholders. Work with software engineers to ensure feasibility of solutions. Deliver prototypes and production code based on need. Experiment with in-house and third-party data sets to test hypotheses on relevance and value of data to business problems. Build needed data transformations on structured and un-structured data. Build and experiment with modeling and scoring algorithms. This includes development of custom algorithms as well as use of packaged tools based on machine learning, data mining and statistical techniques. Devise and implement methods for adaptive learning with controls on effectiveness, methods for explaining model decisions where necessary, model validation, A/B testing of models. Devise and implement methods for efficiently monitoring model effectiveness and performance in production. Devise and implement methods for automation of all parts of the predictive pipeline to minimize labor in development and production. Contribute to development and adoption of shared predictive analytics infrastructure. Mentor and train other ML scientists on the team on key solutions Able to work on multiple projects and initiatives with different/competing timelines and demands. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner Basic Qualifications: 3+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Preferred Qualifications: MS in Computer Science or related field 3+ years of experience as Data Role: Full Stack Data Scientist Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer scienceAutomationmodel validationMachine learningProgrammingData structuresData miningPredictive analyticsMonitoringPython

Job description Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decisionmaking and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC & Summary Experience 3 8 years in Data Engineering We are seeking skilled and dynamic Cloud Data Engineers specializing in AWS, Azure, Databricks, and GCP. The ideal candidate will have a strong background in data engineering, with a focus on data ingestion, transformation, and warehousing. They should also possess excellent knowledge of PySpark or Spark, and a proven ability to optimize performance in Spark job executions. Key Responsibilities Design, build, and maintain scalable data pipelines for a variety of cloud platforms including AWS, Azure, Databricks, and GCP. Implement data ingestion and transformation processes to facilitate efficient data warehousing. Utilize cloud services to enhance data processing capabilities AWS Glue, Athena, Lambda, Redshift, Step Functions, DynamoDB, SNS. Azure Data Factory, Synapse Analytics, Functions, Cosmos DB, Event Grid, Logic Apps, Service Bus. GCP Dataflow, BigQuery , DataProc , Cloud Functions, Bigtable, Pub/Sub, Data Fusion. Optimize Spark job performance to ensure high efficiency and reliability. Stay proactive in learning and implementing new technologies to improve data processing frameworks. Collaborate with crossfunctional teams to deliver robust data solutions. Work on Spark Streaming for realtime data processing as necessary. Qualifications 3 8 years of experience in data engineering with a strong focus on cloud environments. Proficiency in PySpark or Spark is mandatory. Proven experience with data ingestion, transformation, and data warehousing. Indepth knowledge and handson experience with cloud services( AWS/Azure/GCP) Demonstrated ability in performance optimization of Spark jobs. Strong problemsolving skills and the ability to work independently as well as in a team. Cloud Certification (AWS, Azure, or GCP) is a plus. Familiarity with Spark Streaming is a bonus. Mandatory skill sets Python, Pyspark , SQL with (AWS or Azure or GCP) Preferred skill sets Python, Pyspark , SQL with (AWS or Azure or GCP) Years of experience required 3 8 years Education qualification BE/BTECH, ME/MTECH, MBA, MCA Education Degrees/Field of Study required Bachelor of Technology, Master of Engineering, Bachelor of Engineering, Master of Business Administration Degrees/Field of Study preferred Required Skills Node.js Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 28 more} No Role: Data Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Data modelingGCPsparkCloudData processingCosmosAWSSQLData architecturePython

Job description We help the world run better Meet Your Team At SAP SuccessFactors we have started a Human Revolution. Using the latest technology, we are unlocking human potential and transforming our customer s workforces in ways they never imagined. We are digitally transforming their businesses into the next generation of intelligent enterprises. Because people are at the heart of every business transformation, people are the heart of our business. The SAP SuccessFactors product suite spans core human resources, Time, Payroll, analytics-based hiring and customized onboarding, continuous performance management, intelligent succession, Learning and more. We operate the largest HCM Cloud in the world, supporting over 120 million users with over a billion transactions for customers across 26 industries in over 90 countries. Our co-located agile teams have end-to-end ownership of product, design, development, release, user assistance, and cloud operations capabilities. We are in the forefront of the Skills Intelligence market and are looking for the best talent to join our team and deliver continuous innovations in the cloud while bringing purpose to their lives and more meaning to their work. Join us today and become a part of the Human Revolution. What you ll do Innovate, Design, Develop and Test product features with emphasis on testability, quality, performance and operability. Ability to analyze and solve issues in existing and new code. Work closely with senior team members and technical lead to ensure the team success. Troubleshoot and fix customer issues. Understand product road maps and technical strategy. Enhances skills beyond own core functional focus and works on other tasks for the benefit of the team. What you bring BE/B.Tech/M.Tech (full-time) from premier universities with good academic background 4-7 years of relevant experience with a solid foundation in computer science fundamentals, including data structures and algorithms Strong analytical and problem-solving capabilities and innovative mind set Expertise in Java/JEE web application development, database programming, migrations scripts. Knowledge of SAP HANA Database is an added advantage. Expertise in python scripting & back-end development Expertise in Spring 3.0+, REST, OData, ORM frameworks Expertise in Unit Testing and development using TDD/BDD methodologies. Proficiency in OOAD, Design Patterns and anti-patterns Thorough understanding of HTTP protocol including cookies, session persistence Proficiency in Cloud Native, multi-tenancy, Splunk and any automation tool like Selenium Knowledge of Microservices is an added advantage. Proven track record of addressing critical production escalation #DevT2 Bring out your best SAP s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world. SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for . Successful candidates might be required to undergo a background verification with an external vendor. Requisition ID: 428035 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid. Requisition ID: 428035 Posted Date: May 28, 2025 Work Area: Software-Design and Development Career Status: Professional Employment Type: Regular Full Time Expected Travel: 0 - 10% Location: Role: Full Stack Developer Industry Type: Software Product Department: En