17119 Visualization Jobs - Page 25

Mavenir is building the future of networks and pioneering advanced technology, focusing on the vision of a single, software-based automated network that runs on any cloud. As the industry's only end-to-end, cloud-native network software provider, Mavenir is transforming the way the world connects, accelerating software network transformation for 250+ Communications Service Providers in over 120 countries, which serve more than 50% of the world’s subscribers. Role Summary What will you do Applied data science research to fight spam, scam and fraud attacks in SMS, MMS, e-mail and other mobile telecommunication protocols Helping mobile network operators worldwide in localization, identification, monetization and prevention of spam and fraud attacks Big Data analysis of Voice/SMS/MMS traffic (>100 million messages per day) Data cleaning and preprocessing (data wrangling), exploratory analysis, statistical analysis Machine learning, data mining, text mining in different languages Data visualization and presentation Uncovering activities of organized groups of spammers and fraudsters Researching new fraud techniques and designing algorithms for their detection and prevention Monitoring and preventing virus and malware distribution vectors in SMS/MMS Presenting results to customers, leading discussions about findings and best approaches to manage the fraud attacks . Key Responsibilities Key Responsibilities What will you work with Hands-on Experience of 2-4 Years in Statistical tools – R-studio, python Mavenir’s solution for identification of fraud and spam in mobile networks Unique data sets (Voice/SMS/MMS/RCS communication from all around the world) State of the art fraud detection algorithms Core mobile network systems and technologies Must have hands on expreience in Linux/Unix OS(Mandatory) Big data tools - Spark, ElasticSearch/OpenSearch, Kafka Data science and machine learning tooling - NumPy, SciPy, MLlib Job Requirements What we expect you already have Practical experience with statistical analysis or Business Intelligence Scripting languages (for example R, bash, python, perl, lua or similar) Data visualization and reporting Critical thinking and strong problem-solving skills Curiosity and willingness to learn new things Working proficiency in English We appreciate you already /have - Machine learning and Linux This position is based out from Gurugram location Accessibility Mavenir is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you require any assistance, please state in your application or contact your recruiter. Mavenir is an Equal Employment Opportunity (EEO) employer and welcomes qualified applicants from around the world, regardless of their ethnicity, gender, religion, nationality, age, disability, or other legally protected status.

Mavenir is building the future of networks and pioneering advanced technology, focusing on the vision of a single, software-based automated network that runs on any cloud. As the industry's only end-to-end, cloud-native network software provider, Mavenir is transforming the way the world connects, accelerating software network transformation for 250+ Communications Service Providers in over 120 countries, which serve more than 50% of the world’s subscribers. Role Summary What will you do Applied data science research to fight spam, scam and fraud attacks in SMS, MMS, e-mail and other mobile telecommunication protocols Helping mobile network operators worldwide in localization, identification, monetization and prevention of spam and fraud attacks Big Data analysis of Voice/SMS/MMS traffic (>100 million messages per day) Data cleaning and preprocessing (data wrangling), exploratory analysis, statistical analysis Machine learning, data mining, text mining in different languages Data visualization and presentation Uncovering activities of organized groups of spammers and fraudsters Researching new fraud techniques and designing algorithms for their detection and prevention Monitoring and preventing virus and malware distribution vectors in SMS/MMS Presenting results to customers, leading discussions about findings and best approaches to manage the fraud attacks . Key Responsibilities Key Responsibilities What will you work with Hands-on Experience of 2-4 Years in Statistical tools – R-studio, python Mavenir’s solution for identification of fraud and spam in mobile networks Unique data sets (Voice/SMS/MMS/RCS communication from all around the world) State of the art fraud detection algorithms Core mobile network systems and technologies Must have hands on expreience in Linux/Unix OS(Mandatory) Big data tools - Spark, ElasticSearch/OpenSearch, Kafka Data science and machine learning tooling - NumPy, SciPy, MLlib Job Requirements What we expect you already have Practical experience with statistical analysis or Business Intelligence Scripting languages (for example R, bash, python, perl, lua or similar) Data visualization and reporting Critical thinking and strong problem-solving skills Curiosity and willingness to learn new things Working proficiency in English We appreciate you already /have - Machine learning and Linux This position is based out from Gurugram location Accessibility Mavenir is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you require any assistance, please state in your application or contact your recruiter. Mavenir is an Equal Employment Opportunity (EEO) employer and welcomes qualified applicants from around the world, regardless of their ethnicity, gender, religion, nationality, age, disability, or other legally protected status.

Job Title: Business Data Analyst Location: Remote –India Job Summary: We are looking for a highly skilled and detail-oriented Business Data Analyst to join our team. The ideal candidate will be responsible for managing and analyzing data to support our business operations and decision-making processes. This role requires a strong understanding of data management, data analysis, and data visualization techniques. It involves working with stakeholders to ensure data reliability, efficiency and quality, and developing and implementing data solutions that meet business requirements. Key Responsibilities: Collect, validate, clean, normalize and organize data from various sources. Collaborate with cross-functional teams throughout the entire company hierarchy to understand data requirements and deliver data solutions. Create and maintain data models, databases, and data integration solutions to support data analysis and reporting. Ensure data accuracy, integrity, and security. Generate reports and dashboards to visualize data findings. Analyze data to identify trends, patterns, and insights that support decision-making. Troubleshoot data-related issues and provide solutions. Stay updated with industry trends, efficiencies and best practices and incorporate them into everyday tasks and responsibilities. Qualifications: Bachelor's degree or equivalent experience in Computer Science, Information Technology, Data Science, Statistics or a related field. Proven experience as a Data Specialist or in a similar role. Experience with data visualization tools (e.g. Power BI, Tableau). Proficiency in programming languages such as Python, SQL, and Java. Excellent attention to detail and organizational skills. Strong problem-solving and analytical skills, with the ability to work independently and collaboratively in a remote team environment. Excellent communication and interpersonal skills. Preferred Qualifications: Familiarity with Azure cloud platform and its services. Knowledge of data warehousing, ETL, data governance and security practices. Familiarity with machine learning and predictive analytics.

Job Title: Data Scientist Location: Chandigarh (Work from Office) Experience Required: 3+ Years Company: SparkBrains Private Limited Job Description: We are looking for a Data Scientist with 3+ years of hands-on experience in Machine Learning, Deep Learning, and Large Language Models (LLMs). The ideal candidate should possess strong analytical skills, expertise in data modeling, and the ability to develop and deploy AI-driven solutions that add value to our business and clients. Key Responsibilities: 1) Data Collection & Preprocessing: Gather, clean, and prepare structured and unstructured data for model training and evaluation. 2) Model Development: Design, develop, and optimize machine learning and deep learning models to solve real-world business problems. 3) LLM Integration: Build, fine-tune, and deploy Large Language Models (LLMs) for various NLP tasks, including text generation, summarization, and sentiment analysis. 4) Feature Engineering: Identify relevant features and implement feature extraction techniques to improve model accuracy. 5) Model Evaluation & Optimization: Conduct rigorous evaluation and fine-tuning to enhance model performance and ensure scalability. 6) Data Visualization & Insights: Create dashboards and reports to communicate findings and insights effectively to stakeholders. 7) API Development & Deployment: Develop APIs and integrate AI/ML models into production systems. 8) Collaboration & Documentation: Collaborate with cross-functional teams to understand business requirements and document all processes and models effectively. Required Skills & Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or a related field. Experience: Minimum 3+ years of proven experience as a Data Scientist/AI Engineer. Technical Skills: 1) Proficiency in Python and relevant ML/AI libraries such as TensorFlow, PyTorch, Scikit-Learn, etc. 2) Hands-on experience with LLMs (e.g., OpenAI, Hugging Face, etc.) and fine-tuning models. 3) Strong understanding of Natural Language Processing (NLP), neural networks, and deep learning architectures. 4) Knowledge of data wrangling, data visualization, and feature engineering techniques. 5) Experience with APIs, cloud platforms (AWS, Azure, or GCP), and deployment of AI models in production. 6) Analytical & Problem-Solving Skills: Strong analytical mindset with the ability to interpret data and derive actionable insights. 7) Communication Skills: Excellent verbal and written communication skills to effectively collaborate with technical and non-technical teams. Why Join Us? - Opportunity to work on cutting-edge AI/ML projects. - Collaborative work environment with a focus on continuous learning. - Exposure to diverse industries and domains. - Competitive salary and growth opportunities. Job Type: Full-time Pay: ₹480,000.00 - ₹1,000,000.00 per year Benefits: Paid sick time Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

PwC AC is hiring for Data scientist Apply and get a chance to work with one of the Big4 companies #PwC AC. Job Tit le : Data scientist Years of Experienc e: 3-7 years Shift Timin gs: 11AM-8PM Qualificati on: Graduate and above(Full time) About PwC CTIO – AI Engineering PwC’s Commercial Technology and Innovation Office (CTIO) is at the forefront of emerging technology, focused on building transformative AI-powered products and driving enterprise innovation. The AI Engineering team within CTIO is dedicated to researching, developing, and operationalizing cutting-edge technologies such as Generative AI, Large Language Models (LLMs), AI Agents, and more. Our mission is to continuously explore what's next—enabling business transformation through scalable AI/ML solutions while remaining grounded in research, experimentation, and engineering excellence. Role Overview We are seeking a Senior Associate – Data Science/ML/DL/GenAI to join our high-impact, entrepreneurial team. This individual will play a key role in designing and delivering scalable AI applications, conducting applied research in GenAI and deep learning, and contributing to the team’s innovation agenda. This is a hands-on, technical role ideal for professionals passionate about AI-driven transformation. Key Responsibilities Design, develop, and deploy machine learning, deep learning, and Generative AI solutions tailored to business use cases. Build scalable pipelines using Python (and frameworks such as Flask/FastAPI) to operationalize data science models in production environments. Prototype and implement solutions using state-of-the-art LLM frameworks such as LangChain, LlamaIndex, LangGraph, or similar. Also developing applications in streamlit/chainlit for demo purposes. Design advanced prompts and develop agentic LLM applications that autonomously interact with tools and APIs. Fine-tune and pre-train LLMs (HuggingFace and similar libraries) to align with business objectives. Collaborate in a cross-functional setup with ML engineers, architects, and product teams to co-develop AI solutions. Conduct R&D in NLP, CV, and multi-modal tasks, and evaluate model performance with production-grade metrics. Stay current with AI research and industry trends; continuously upskill to integrate the latest tools and methods into the team’s work. Required Skills & Experience 3 to 7 years of experience in Data Science/ML/AI roles. Bachelor’s degree in Computer Science, Engineering, or equivalent technical discipline (BE/BTech/MCA). Proficiency in Python and related data science libraries: Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, PyTorch, Keras, etc. Hands-on experience with Generative AI , including prompt engineering, LLM fine-tuning, and deployment. Experience with Agentic LLMs and task orchestration using tools like LangGraph or AutoGPT-like flows. Strong knowledge of NLP techniques, transformer architectures, and text analysis. Proven experience working with cloud platforms (preferably Azure; AWS/GCP also considered). Understanding of production-level AI systems including CI/CD, model monitoring, and cloud-native architecture. (Need not develop from scratch) Familiarity with ML algorithms: XGBoost, GBM, k-NN, SVM, Decision Forests, Naive Bayes, Neural Networks, etc. Exposure to deploying AI models via APIs and integration into larger data ecosystems. Strong understanding of model operationalization and lifecycle management. Good to Have Experience with Docker, Kubernetes, and containerized deployments for ML workloads. Use of MLOps tooling and pipelines (e.g., MLflow, Azure ML, SageMaker, etc.). Experience in full-stack AI applications, including visualization (e.g., PowerBI, D3.js). Demonstrated track record of delivering AI-driven solutions as part of large-scale systems. Soft Skills & Team Expectations Strong written and verbal communication; able to explain complex models to business stakeholders. Ability to independently document work, manage requirements, and self-drive technical discovery. Desire to innovate, improve, and automate existing processes and solutions. Active contributor to team knowledge sharing, technical forums, and innovation drives. Strong interpersonal skills to build relationships across cross-functional teams. A mindset of continuous learning and technical curiosity. Preferred Certifications (at least two are preferred) Certifications in Machine Learning, Deep Learning, or Natural Language Processing. Python programming certifications (e.g., PCEP/PCAP). Cloud certifications (Azure/AWS/GCP) such as Azure AI Engineer, AWS ML Specialty, etc. Why Join PwC CTIO? Be part of a mission-driven AI innovation team tackling industry-wide transformation challenges. Gain exposure to bleeding-edge GenAI research, rapid prototyping, and product development. Contribute to a diverse portfolio of AI solutions spanning pharma, finance, and core business domains. Operate in a startup-like environment within the safety and structure of a global enterprise. Accelerate your career as a deep tech leader in an AI-first future.

The Role: As a Product Analyst , you will play a critical role in helping us build data-driven, user-centric features on the BotPenguin platform. You will work closely with Product Managers, Design, Engineering, Marketing, and Customer Success Teams to analyze user behavior, validate feature performance, and uncover growth opportunities through actionable insights. This is an exciting opportunity to join a high-growth product team and influence strategic decisions at the intersection of data, product design, and customer experience. What you need for this role: Education: Bachelor’s degree in Computer Science, Business Analytics, Engineering, Statistics, or related field. Experience: 2-5 years of experience in a product or data analyst role within a SaaS or tech product environment. Technical Skills: Strong expertise in MongoDB and data visualization tools (e.g., Tableau, Power BI, Metabase). Familiarity with Google Analytics, Mixpanel, Hotjar, or other product analytics platforms. Hands-on experience working with Excel/Google Sheets, building dashboards, and extracting user insights. Knowledge of product lifecycle, user funnels, A/B testing, and cohort analysis. Bonus: Exposure to Python, R, or basic scripting for data processing. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and storytelling abilities—able to translate data into strategic insights. Proactive attitude with a willingness to own initiatives and drive improvements. Keen interest in product design, user experience, and tech innovation. What you will be doing: Collaborate with Product Managers to define key metrics, success criteria, and feature adoption benchmarks. Analyze platform usage, customer behavior, and market data to discover pain points and opportunity areas. Generate and maintain weekly/monthly product reports and dashboards for cross-functional teams. Design and evaluate A/B tests, feature rollouts, and experiments to improve user engagement and retention. Work with the Engineering team to ensure accurate data tracking and event instrumentation. Monitor product KPIs and proactively raise red flags for anomalies or unexpected trends. Participate in roadmap discussions, contributing insights backed by data. Assist in user segmentation and support marketing and CS teams with insights for personalized communication and retention strategies. Assist on any other related to the product development or management if required. Top reasons to work with us: Lead the architecture and evolution of a fast-growing AI product used globally. Be part of a cutting-edge AI startup driving innovation in chatbot automation. Work with a passionate and talented team that values knowledge-sharing and problem-solving. Growth-oriented environment with ample learning opportunities. Exposure to top-tier global clients and projects with real-world impact. Flexible work hours and an emphasis on work-life balance. A culture that fosters creativity, ownership, and collaboration. Job Type: Full-time Pay: ₹600,000.00 - ₹800,000.00 per year Benefits: Flexible schedule Leave encashment Provident Fund Schedule: Day shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Experience: product analyst : 3 years (Required) Work Location: In person

We are seeking a passionate and skilled Architect to join an Architecture Firm in Bangalore . If you have a keen eye for design, strong technical expertise, and a talent for client communication, we’d love to hear from you! Key Responsibilities: Conceptualization & Design – Develop innovative and functional design solutions that align with client needs and aesthetic goals. Client Communication – Engage with clients to understand their vision and deliver tailored design solutions. Drafting & Visualization – Create detailed 2D drawings and 3D models to clearly present design concepts. Project Management – Oversee the execution of designs by coordinating with vendors, material suppliers, and on-site teams. Material Selection – Assist in sourcing and selecting materials that align with project specifications and budgets. Coordination – Work closely with clients, vendors, and site teams to ensure smooth project execution. Requirements: Bachelor’s degree in Architecture. Minimum 1 year of industry experience. Strong understanding of architectural concepts and terminology. Excellent drawing skills and proficiency in design software (AutoCAD, SketchUp, Photoshop, Lumion, etc.). Ability to translate design concepts into detailed drawings with accuracy and precision. Strong communication and project management skills. Experience in residential projects, site coordination, and client handling is preferred. Work Schedule: Location: Chamrajpeth, Bangalore, Karnataka Work Type: Full-time, Work from Office Schedule: Monday - Saturday (10:00 am to 7:00 pm) Interested candidates may contact info@archestra.co / 93590 34327 or 96677 70774 for any additional information requirements.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Cognite Data Fusion Engineer / Consultant Industry: Oil & Gas / Energy / Manufacturing / Industrial Digital Transformation Key Responsibilities: Design, implement, and optimize data pipelines in Cognite Data Fusion (CDF) using Python SDK or CDF APIs Build and maintain data models (Asset Hierarchies, Time Series, Events, Files, Relationships) in CDF Ingest and contextualize data from OT systems (e.g., PI System, SCADA/DCS), IT systems (SAP PM, IBM Maximo), and engineering data Develop and orchestrate transformations using CDF Transformations (SQL / PySpark) Collaborate with SMEs and data scientists to develop use cases such as predictive maintenance, asset performance monitoring, and digital twins Implement access control, data lineage, and quality checks aligned with governance requirements Create dashboards, apps, or integrations using CDF’s APIs, Power BI, Grafana, or other front-end tools Work with Cognite’s capabilities such as Cognite Functions, Data Sets, CDF Charts, and Industrial Canvas Must Have: 4+ years of experience in data engineering or industrial data platforms Proven experience working with Cognite Data Fusion – SDK, APIs, or Fusion Workbench Strong skills in Python, SQL, and cloud data tools (Azure preferred) Understanding of industrial asset structures, time series data, maintenance logs, and equipment metadata Experience with data integration tools and protocols (OPC UA, Modbus, REST, MQTT, PI AF) Familiarity with industry verticals like Oil & Gas, Chemicals, Power Generation, or Manufacturing Excellent problem-solving, communication, and client engagement skills Good to have: Experience with data visualization tools: Power BI, Grafana, Plotly, etc. Knowledge of cloud platforms (Azure, AWS, GCP) and infrastructure as code (Terraform, ARM) Prior experience with Cognite’s packaged solutions or apps (Asset Data Insight, Reliability, Integrity, etc.) Cognite Certifications (CDF Foundation / Developer / Architect) a strong plus EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

About the Role: We are seeking a highly skilled and detail-oriented 3D Visualizer to join our dynamic design team. The ideal candidate will have a keen eye for design, a strong understanding of space planning, materials, and lighting, and the technical proficiency to bring concepts to life with stunning 3D visuals. If you’re passionate about architectural visualization and want to work on exciting real estate and interior design projects, this is your opportunity. Key Responsibilities: Interpret project briefs and design concepts provided by the design head with clarity and precision. Analyze project requirements to understand spatial and functional objectives. Develop high-quality 3D models and photorealistic renderings of both interior and exterior spaces, ensuring accuracy in lighting, textures, and material finishes. Create visuals aligned with the client’s style preferences, budget, and functional needs, maintaining practical and buildable design intent. Collaborate with the design and sales teams to produce compelling visuals for presentations and client approvals. Incorporate feedback from clients and internal teams to refine and finalize designs. Ensure that all designs are based on accurate site measurements and are production-ready. Coordinate closely with architects, site engineers, project managers, and external consultants for seamless project execution. Deliver visual content in alignment with project timelines and deadlines. Required Skills & Qualifications: Proven experience in architectural/interior 3D visualization. Exceptional attention to detail, particularly in lighting, textures, and design aesthetics. Ability to manage multiple projects and prioritize tasks effectively. Strong understanding of materials, joinery, and modular furniture systems (preferred). Capable of working independently and in a team in a fast-paced environment. Excellent communication and presentation skills. Technical Proficiency: Hands-on experience with the following tools is mandatory : SketchUp 3ds Max V-Ray and/or Corona Renderer AutoCAD D5 Render or Lumion Revit (BIM) Adobe Photoshop Benefits: Competitive salary based on experience and portfolio Cell phone reimbursement Professional and growth-oriented work environment Opportunities to work on premium real estate and design projects Important Note: Applicants must have relevant experience in the real estate, architecture, interior design, or construction industry. Ready to bring spaces to life? Apply now and showcase your portfolio of work! Job Type: Full-time Pay: ₹30,000.00 - ₹75,000.00 per month Benefits: Cell phone reimbursement Work Location: In person

Admin with Python Coding Skills Location: Sultanate of Oman We are looking for a dynamic professional with strong Python programming and administrative skills to join our team in Oman. If you enjoy automating tasks, managing data, and streamlining operations, this role is for you! Requirements: Minimum 3+ years of experience in a similar role Strong proficiency in Python programming Experience working with Odoo ERP system Hands-on experience in automating reports and data processing Knowledge of MS Excel , Google Sheets , and data visualization tools Familiarity with database management (MySQL/SQLite) and data scraping Strong administrative background with multitasking ability Excellent coordination and communication skills Ability to handle confidential data with integrity Bachelor’s degree in Computer Science , Information Technology , Business Administration , or a related field Experience in tech-enabled administrative functions is a plus Benefits Provided by Company: Visa Air Tickets Accommodation Food Local Travel Other Allowances Apply Now: nandhana.g@ariesoverseas.com Contact: +91 87143 67315 Job Types: Full-time, Permanent Pay: ₹45,000.00 - ₹50,000.00 per month Schedule: Monday to Friday Work Location: In person

Company: Haris & Co Academy Location: Calicut, Kerala Job Summary: Haris & Co Academy is seeking a dynamic and skilled Python Django Full-Stack Mentor to lead learners through an AI-integrated full-stack development journey. This role involves delivering project-based training in Python, Django, React.js, MySQL, and other key technologies, with a special focus on AI-powered web development. As a mentor, you will guide students from fundamental programming concepts to deployment-ready full-stack applications, preparing them for professional roles in tech. Key Responsibilities: Mentorship & Guidance: Provide 1:1 and group mentorship to learners across all levels. Support students in debugging code, understanding concepts, and building real-world projects. Monitor student progress and offer tailored learning strategies. Curriculum Delivery: Deliver structured, project-based sessions across five modules: Python, Frontend (React.js), MySQL, Django, and API/Cloud deployment. Ensure understanding of both theoretical and practical aspects, including: Python basics to OOP and AI modules React fundamentals and advanced state management Django ORM, views, templates, authentication REST APIs with Django REST Framework Cloud deployment with PythonAnywhere Real-World Projects: Guide students through 6+ end-to-end projects, including an AI-Integrated Full-Stack Web Application. Review student code and provide actionable feedback on performance, structure, and best practices. AI & Industry Integration: Integrate Python libraries like NumPy, Pandas, and Matplotlib in web development contexts. Share real-world insights and use cases related to AI-powered web applications. Career Support: Assist in GitHub portfolio building, project documentation, and deploying apps. Guide students in resume writing, LinkedIn optimization, and interview preparation for developer roles. Operational Support: Support daily academic operations, contribute to curriculum updates, and assist in organizing workshops, hackathons, or bootcamps. Qualifications: Technical Skills: Strong expertise in Python, Django, Django REST Framework, React.js, MySQL, HTML/CSS/JS. Proficient in Python libraries for data analysis and visualization (NumPy, Pandas, Matplotlib). Understanding of RESTful API design, version control (Git/GitHub), and basic cloud deployment (e.g., PythonAnywhere, Heroku). Bonus: Knowledge of asynchronous programming, image processing, and AI model integration. Soft Skills: Excellent communication and presentation skills. Passion for teaching and mentoring learners. Ability to simplify complex concepts and encourage project-based learning. Preferred: Prior experience as a trainer, mentor, or instructor in an academic/bootcamp setting. Familiarity with agile workflows and edtech platforms. Experience deploying web applications and integrating third-party APIs. Job Type: Freelance Work Location: In person

We have an opening for the position of Faculty for Product Design The ideal candidate should have excellent skills in product design & visualization Work closely with students to teach, mentor, and inspire them. You will ensure that students feel motivated and engaged throughout the learning experience Proficiency in AutodeskInventor, AutoCAD, Autodesk Fusion,etc.. Capable of teaching Form & Design Language Research skills relevant to the field of art, craft and design Experience in mentoring and evaluating students Excellent communication and interpersonal skills A graduation or Diploma in Product Design, or a related field is preferred Previous experience in a similar teaching role is advantageous Interested candidates should send their CVS with portfolios. A CV without a portfolio will be rejected. Job Type: Full-time Pay: ₹22,000.00 - ₹38,730.38 per month Schedule: Day shift Work Location: In person Application Deadline: 30/07/2025

3D Architectural visualizer 2-3 years experience Strong creative and visualization skills. Knowledge of using 3D software's. *Sketch up *lumion *v-ray *Auto cad *Photoshop *3Ds max Job Type: Full-time Pay: ₹15,000.00 - ₹20,000.00 per month Application Question(s): Are you able to relocate to Ernakulam Work Location: In person Expected Start Date: 23/07/2025

Job Title: Power BI Developer Experience: 4 to 5 Years Location: Cochin (Hybrid) Employment Type: Full-time Job Summary: We are looking for an experienced and detail-oriented Power BI Developer with 4–5 years of industry experience to join our analytics and reporting team. The ideal candidate will have a strong background in business intelligence, data visualization, and analytics, along with excellent communication skills and the ability to adapt quickly to dynamic business requirements. Key Responsibilities: Design, develop, and maintain interactive Power BI dashboards and reports. Translate business needs into technical specifications and deliver actionable insights. Connect to various data sources (SQL Server, Excel, cloud services, etc.) and perform data transformations using Power Query and DAX. Collaborate with business stakeholders, analysts, and data engineers to gather requirements and understand key performance metrics. Optimize data models and reports for performance and scalability. Ensure data accuracy, consistency, and security across all reporting solutions. Support ad hoc data analysis and create visual storytelling using data. Stay updated with the latest Power BI features, tools, and best practices. Required Skills: 4–5 years of hands-on experience with Power BI (Power BI Desktop, Power BI Service). Strong proficiency in DAX and Power Query (M language) . Solid experience with data modeling , ETL processes, and building enterprise-level dashboards. Strong SQL skills and experience working with relational databases (e.g., SQL Server, Azure SQL, etc.). Understanding of data warehousing concepts and star/snowflake schema design. Familiarity with Power Platform (Power Apps, Power Automate) is a plus. Basic knowledge of Azure Data Services (e.g., Azure Data Factory, Azure Synapse) is advantageous. Soft Skills: Excellent communication skills – able to clearly explain technical concepts to non-technical stakeholders. Strong analytical thinking and problem-solving abilities. Ability to adapt quickly to changing priorities and business needs. Self-motivated with a proactive attitude and strong ownership mindset. Effective time management and organizational skills. Preferred Qualifications: Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field. Microsoft Certification in Power BI or related technologies (optional but a plus). Experience working in Agile environments.

Description VRMO Analytics is responsible for helping the Registrations & Compliance Operations teams in ongoing and long term strategic decision making. We help our business teams to build scalable capabilities for generating, operationalizing and measuring data-driven insights for the organization. We help our stakeholders shift from ad hoc insights to a programmatic approach to improve customer experience and operational efficiency. By providing transformed datasets, analytical solutions & insights to our stakeholders we help them take targeted actions and decisions. Sitting at the core of learning, experimenting and execution, we are committed to getting it right at the very first time. Key job responsibilities Build and curation of relevant datasets, including potentially normalized schemas using SQL and DDL, which are understandable by colleagues and data customers. Automation of manual data processes, including data quality and validation Ability to run basic descriptive and predictive statistics models on complex data sets. Good knowledge of python and basic ML model (decision trees, random forests, clustering etc.) is compulsory. Ability to have end to end ownership and drive projects Reporting using widely available reporting tools, for instance Quicksight or Tableau Ability to translate ambiguous work-streams in to tangible requirements, and success metrics, including ability to build metrics and metrics decks. Ability to earn trust among widely differing stakeholders of different roles, responsibilities, geographical location, and, culture. Basic Qualifications 3+ years of tax, finance or a related analytical field experience 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience 3+ years of business or financial analysis experience Experience defining requirements and using data and metrics to draw business insights Experience making business recommendations and influencing stakeholders Experience with Excel Bachelor's degree or equivalent Preferred Qualifications Experience working with Tableau Experience using very large datasets In depth understanding of GenAI and any other AI related improvements Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - BLR 14 SEZ Job ID: A3037863

Job title: Power Bi Developer Experience: 4-5 Years Salary: As per company standards Responsibilities: Develop, optimize, and maintain Power BI dashboards for clear data visualization and actionable insights. Creating complex DAX calculations and measures to support data analysis. Perform data analytics using Python, Power BI, or other BI tools , must have excellent analytical thinking and problem-solving skills. Troubleshoot and resolve data-related issues and provide support for data operations. Document technical solutions and processes for future reference. Providing training and support to end users on using Power BI. Key Requirements: Extensive experience in working with Power BI Desktop and Power BI Service. Good hands-on experience with DAX Queries. Experience in connecting with multiple sources using Power BI both on the cloud and on-premises and being aware of (with hands-on experience) aspects like Disaggregating and Aggregating data, Transformation functions, Subscription, Power BI Embedded, Sharing & collaboration, Data Security, Data alert. Work Experience in Optimization Techniques at Power BI. Advanced knowledge of ETL processes with Power Query . Familiarity with cloud platforms (e.g., Azure ). Proficiency in programming languages such as Python. Basic knowledge of statistical methods and data modelling. Job Types: Full-time, Permanent Pay: Up to ₹1,000,000.00 per year Benefits: Provident Fund Experience: Power BI: 5 years (Preferred) DAX: 3 years (Preferred) ETL: 3 years (Preferred) python: 2 years (Preferred) Work Location: In person

Responsibilities: Develop, optimize, and maintain Power BI dashboards for clear data visualization and actionable insights. Creating complex DAX calculations and measures to support data analysis. Perform data analytics using Python, Power BI, or other BI tools , must have excellent analytical thinking and problem-solving skills. Troubleshoot and resolve data-related issues and provide support for data operations. Document technical solutions and processes for future reference. Providing training and support to end users on using Power BI. Key Requirements: Extensive experience in working with Power BI Desktop and Power BI Service. Good hands-on experience with DAX Queries. Experience in connecting with multiple sources using Power BI both on the cloud and on-premises and being aware of (with hands-on experience) aspects like Disaggregating and Aggregating data, Transformation functions, Subscription, Power BI Embedded, Sharing & collaboration, Data Security, Data alert. Work Experience in Optimization Techniques at Power BI. Advanced knowledge of ETL processes with Power Query . Familiarity with cloud platforms (e.g., Azure ). Proficiency in programming languages such as Python. Basic knowledge of statistical methods and data modelling. Job Types: Full-time, Permanent Pay: Up to ₹1,000,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift

Position: Data Scientist Intern Location: Kochi Role & Responsibility: Good communication skills required Graduates can apply What You'll Learn: ? Data Analysis & Visualization ? Machine Learning & AI ? Python & R Programming ? Data Cleaning & Preprocessing ? Real-world Projects & Case Studies Job Type: Internship Contract length: 6 months Pay: ₹6,000.00 per month Benefits: Cell phone reimbursement Work Location: In person

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Job Description – Senior Director, Product Operations, Product & Design Team, WNS Next Role As the Senior Director, Product Operations you will be the operational backbone of our product and design organization. You will drive cross-functional alignment, optimize product development processes and ensure that our products are delivered efficiently, ethically and at scale. You will work closely with cross-functional teams, including Product, Engineering, AI Research, and Go-To-Market teams, to streamline processes, optimize product launches, and drive continuous improvement. Reporting into the Chief Product and Design Officer you will ensure the teams involved in product development operate cohesively and efficiently, to drive the successful development and deployment of products. This role is essential for maintaining the alignment and momentum needed to achieve the product objectives. Responsibilities Operational Frameworks: Design and implement scalable product development operational frameworks across the product development lifecycle, from ideation, discovery and insights to planning and launches. Contribute to product roadmap creation to align development strategy and timelines. Cross-Functional Collaboration: Foster strong partnerships across Product, Engineering, Go-to-Market, and Support teams to align goals, and streamline communication. Drive adoption of best practices in development, experimentation, and product delivery. Release Management: Oversees releases, support GTM activities including ensuring relevant product materials are created and distributed to the right teams. Tooling & Infrastructure: Evaluate and implement tools for product road mapping, user feedback, experimentation, and analytics. Optimize internal systems for documentation, knowledge sharing, and decision tracking. Team Leadership: Build and lead a high-performing product operations team. Mentor junior team members and foster a culture of continuous improvement and operational excellence. Insights: Build and maintain systems for capturing product insights including customer feedback, competitive product insights, and industry trends. Leverage data visualization tools to monitor product metrics, understand customer feedback trends, and support product optimization. Product Planning: Develop and optimize planning processes and prioritization frameworks. Manage the ideas portal for the product and design team at WNS. Product Operations Strategy: Oversees the operational aspects of product and design team including resource planning, budgeting, and product performance tracking. Talent Development & Career Growth : Work with HR, learning & development team to influence and evolve career frameworks in alignment with organization goals and talent aspirations Skills & Experience: Have 12+ years of product operations and product management experience, preferably in a tech company. Proven track record of scaling product operations in a fast-paced, high growth environment. Deep understanding of AI/ ML product development cycles and associated challenges. Experience in designing and setting up product operations models that increase collaboration, foster innovation and speed to market. Excellent communication, facilitation and stakeholder management skills. With the ability to influence others without direct authority. Excellent relationship management skills. Experience with agile methodologies and product management tools (e.g., Jira, Confluence, Productboard, Ah-Ha etc). Problem solving mindset, with the ability to shape and steer organizational effectiveness and help cross-functional teams execute. Have proven experience working in a technical environment with cross-functional teams. Previous experience working on AI products and curiosity about the rapidly evolving AI landscape Strong analytical skills with experience in data-driven decision making MBA or bachelor’s degree in computer science, engineering, or a related field WNS

Skill required: Analytics - Reporting Analytics Designation: Analytics and Modeling Senior Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? The Analytics and Modeling Senior Analyst/ Analyst will be responsible to deliver analytics to one of the Markets/ Services. Whether you re measuring sales performance, analyzing trends, data mining, or optimizing SQL queries, the Senior Analyst/ Analyst will be working with the cutting-edge technology and big datasets. Working in the Business Operations Data Integration team is a premier opportunity to develop a career in Business Analytics. At their core, Analytics and Modeling Senior Analysts/ Analysts are not only required to be strong in quantitative analysis, data visualization, enjoy coding but also want to balance that with their interest in business. The role requires them to think critically to tackle complex challenges, thrive in a fast-paced environment and seeking a high-growth opportunity where they will have an immediate impact on day one. OUR COMMITMENT TO YOU: • You’ll benefit from our network of global communities and collaborative culture that will help you build technical and functional skills and capabilities. And because we serve more than 40 industries globally, you’ll have the opportunity to develop valuable industry-specific expertise. • The scale of our capabilities and client engagements—and the unique way we innovate, operate and deliver value—will give you the opportunity to deepen your existing skills even as you help create the latest technology trends. • You’ll have access to leading-edge technology. • Accenture offers a comprehensive benefits package What are we looking for? ACCOUNTABILITIES Answerable/Liable for success Business operations support to Services/ Markets including • Business Intelligence & Analytics to produce analytics across multiple dimensions of business - Finance, Sales, Talent, Quality, Delivery, external competition and others as needed by the Market/ Service leadership • Data Visualization • Reporting & Analytics • Driving adoption of Standard Accenture tools • Working in an agile way – on demand change request, real time support for ad hoc reporting requests QUALIFICATIONS Degrees, Certifications • Any graduate degree (or equivalent) required, full time MBA preferred • 4 – 6 years of post-education experience, with at least 4-5 years of relevant experience • Strong knowledge of advanced Excel, PowerPoint and at least one of the data visualization tools such as Power BI • Strong Knowledge of SQL, SSRS, Access, VBA will be highly preferred Roles and Responsibilities: RESPONSIBILITIES Tasks, functions, deliverables Performed • Act as a business partner to provide analytics, management operations support and reporting to Market/ Service Leads to help them run their portfolios, understand key performance metrics and drive performance improvements • Provide analysis for programs jointly as needed that include pipeline improvement, win/loss, account planning, profitability improvement analysis, chargeability analysis • Use latest analytics and data visualization tools such as Power BI, for effective data representation to provide insights to business • Identify process improvement opportunities to develop effective business solutions • Develop process documentation, communications, and reports required to support leadership • Foster relationships and partner with internal teams, and external business functions to deliver business results • Work with different stakeholders to gain input needed to drive key business discussions /outcomes • Build functional and technical skills foundation • Participate and contribute to regular team discussions and process improvement initiatives • Take responsibility for personal skill development and career management TOP REQUIRED BEHAVIORS AND SKILLS • Preferably handled projects in the areas of data visualization and analytics • Good understanding of dashboards and scorecards for leadership review • Preferably an expert on MS Excel & Macros and with prior experience or hands on in either one or more of the following - SFDC, SQL Server, Sales Analytics, SAP BI or any other Business intelligence platforms • Ability to multitask to meet deadlines and quality expectations • Analytical/problem solving skills • Accuracy and attention to detail; prioritizes and plans work activities • Good communication in English (written and oral) and interpersonal skills. Ability to interact with international stakeholders • Experience in handling global clients preferred • Willing to go the extra mile for the team when required • Ability to work under minimal supervision and guidance • Willingness to learn and deliver with a positive attitude Any Graduation

The Specialized Analytics Manager provides full leadership and supervisory responsibility. Provides operational/service leadership and direction to team(s). Applies in-depth disciplinary knowledge through provision of value-added perspectives or advisory services. May contribute to the development of new techniques, models and plans within area of expertise. Excellent communication and diplomacy skills are required. Generally has responsibility for volume, quality, timeliness of end results and shared responsibility for planning and budgets. Work affects an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family. Full supervisory responsibility, ensuring motivation and development of team through professional leadership to include duties such as performance evaluation, compensation, hiring, disciplinary and terminations as well as direction of daily tasks and responsibilities. Job Description: The Data Science Analyst is a developing professional role within GWFO team. This role applies specialized knowledge in machine learning, statistical modeling, and data analysis to monitor, assess, analyze, and evaluate processes and data. The Data Science Analyst will identify opportunities to leverage advanced analytics to improve business outcomes, automate processes, and generate actionable insights. The role will also contribute to the development and deployment of innovative AI solutions, including generative AI and agentic AI applications. The individual will work with cross functional stakeholders. Gather and process operational data from various cross-functional stakeholders to examine past business performance and identify areas for improvement. Apply machine learning techniques to identify data patterns and trends, and provide insights to enhance business decision-making capabilities in business planning, process improvement, solution assessment, and other areas. Develop and implement machine learning models for predictive analytics, forecasting, and optimization. Design, build, and deploy Generative AI solutions to enhance customer experience, automate tasks, and personalize interactions. Experiment with agentic AI frameworks to create autonomous systems that can learn, adapt, and solve complex problems. Develop tools and techniques to evaluate the performance and impact of AI solutions. Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate findings clearly and effectively to business partners and senior leaders. Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities, with a focus on cutting-edge AI technologies. Work closely with internal and external business partners in building, implementing, tracking, and improving decision strategies. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets, by driving compliance with applicable laws, rules, and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing, and reporting control issues with transparency. Skills and Experience: As a successful candidate, you should ideally have the following skills and exposure: 7+ years of relevant experience in data science, machine learning, or a related field. Advanced process management skills, organized and detail-oriented. Curious about learning and developing new skill sets, particularly in the area of artificial intelligence. Positive outlook with a can-do mindset. Strong programming skills in Python and proficiency in relevant data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers. Experience with statistical modeling techniques, including regression, classification, and clustering. Experience building GenAI solutions using LLMs and vector databases. Experience with agentic AI frameworks, such as Langchain,Langraph, MLOps Experience with data visualization tools such as Tableau or Power BI. Must Have Other Skills: Strong Logical Reasoning Capabilities, Willingness to learn new skills, Good Communication and presentation skills Education: Bachelors/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. - Job Family Group: Decision Management - Job Family: Specialized Analytics (Data Science/Computational Statistics) - Time Type: Full time - Most Relevant Skills Please see the requirements listed above. - Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. - Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi’s EEO Policy Statement and the Know Your Rights poster.

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together. Description At United, we have some of the best aircraft in the world. Our Technical Operations team is full of aircraft maintenance technicians, engineers, planners, ground equipment and facilities professionals, and supply chain teams that help make sure they’re well taken care of and ready to get our customers to their desired destinations. If you’re ready to work on our planes, join our Tech Ops experts and help keep our fleet in tip-top shape. Job overview and responsibilities Senior analyst will work to enable better decision making across GX-FX. The work will involve working on huge volumes of data coming from the GX-FX team's various systems (e.g. Fleet Focus, telemetry devices, Coupa, PlanPlus, Oracle ERP, etc.) and use this information to drive decision making. Will be responsible for owning set of analysis projects with deliverables to senior departmental and company leadership. Build predictive operational models and analyze results for dissemination of insights to United leadership Design meaningful metrics that indicate operational health and inform operational/investment decisions Utilizes analytical dashboards, automated tools, and the GX-FX team's systems (FleetFocus, Oracle, PlanPlus, Coupa, etc.) to drive better decision making Automate existing manual reports and processes to improve operational throughput Continuously interface with business groups throughout Tech Ops to understand organizational needs and design solutions Performs ad-hoc data mining and analysis as required This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc. Qualifications What’s needed to succeed (Minimum Qualifications): Bachelor's degree or 4 years of relevant work experience in Engineering, business analytics, finance, supply chain At least 3+ years experience in business intelligence, analytics, and/or data engineering Deep understanding of data structures, relationships, and efficient transformations Familiarity with all parts of the data ecosystem - acquisition, engineering, storage, management, analysis, visualization, and deployment Knowledge and application of data visualization best practices Must be legally authorized to work in India for any employer without sponsorship Must be fluent in English (written and spoken) Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position What will help you propel from the pack (Preferred Qualifications): Master's degree in mechanical engineering Airline experience or knowledge of airline operations/fleet management preferred

Gurugram Full Time About Klook We are Asia’s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences . Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong, Klook inspires and enables more moments of joy for travelers with over half a million curated quality experiences ranging from the biggest attractions to paragliding adventures, iconic museums to rich cultural tours, and other convenient local travel services across 2,700 destinations around the world. Do you share our belief in the wonders of travel? Our international community of over 1,800 employees, based in 30+ locations, certainly do! Global citizens ourselves, Klookers are not only curating memorable experiences for others but also co-creating our world of joy within Klook. We work hard and play hard, upkeeping our high-performing culture as we are guided daily by our 6 core values: Customer First Push Boundaries Critical Thinking Build for Scale Less is More Win as One We never settle, and together, we believe in achieving greater heights and realizing endless possibilities ahead of us in the dynamic new era of travel. Care to be a part of this revolution? Join us! As a Data Scientist within the Pricing Strategy team, you will play a pivotal role in driving data-driven decision-making and optimizing pricing strategies. You will leverage your expertise in data science and analytics to develop and implement dynamic pricing models, predictive and prescriptive analysis, ultimately contributing to revenue growth and market competitiveness. What you'll do: Dynamic Pricing Model Development: Develop and implement advanced dynamic pricing models to optimize product pricing across various channels and markets. Predictive Analytics: Utilize predictive modeling techniques to forecast demand, market trends, and customer behavior, enabling proactive pricing adjustments. Prescriptive Analysis: Employ prescriptive analytics to identify optimal pricing strategies based on specific business objectives and constraints. Data Exploration and Analysis: Conduct in-depth data exploration and analysis to uncover valuable insights and inform pricing decisions. Model Evaluation and Refinement: Continuously evaluate and refine pricing models to ensure their accuracy and effectiveness. Collaboration: Collaborate with cross-functional teams (e.g., marketing, sales, finance) to align pricing strategies with overall business goals. Stay Updated : Stay abreast of the latest advancements in data science and pricing optimization techniques. What you'll need: Master's degree or PhD in Data Science, Statistics, Computer Science, Economics, or a related field. A minimum of 3-4 years of relevant experience in the field of Data Science. Strong programming skills in Python or R, including proficiency in data manipulation, analysis, and visualization libraries (e.g., Pandas, NumPy, Matplotlib, Seaborn). Experience with machine learning algorithms and techniques (e.g., regression, classification, clustering, time series analysis). Knowledge of statistical modeling and hypothesis testing. Experience with data warehousing and cloud computing platforms (e.g., AWS, GCP, Azure) is a plus. Excellent problem-solving and analytical skills. Ability to communicate complex technical concepts to both technical and non-technical audiences. Passion for data-driven decision-making and a continuous learner mindset. Klook is proud to be an equal opportunity employer. We hire talented and passionate people of all backgrounds. We believe that a joyful workplace is an inclusive workplace, one where employees from all walks of life have an equal opportunity to thrive. We’re dedicated to creating a welcoming and supportive culture where everyone belongs.

Role: AWS Data Engineer Location: Gurugram Mode: Hybrid Type: Permanent Job Description: We are seeking a talented and motivated Data Engineer with requisite years of hands-on experience to join our growing data team. The ideal candidate will have experience working with large datasets, building data pipelines, and utilizing AWS public cloud services to support the design, development, and maintenance of scalable data architectures. This is an excellent opportunity for individuals who are passionate about data engineering and cloud technologies and want to make an impact in a dynamic and innovative environment. Key Responsibilities: Data Pipeline Development: Design, develop, and optimize end-to-end data pipelines for extracting, transforming, and loading (ETL) large volumes of data from diverse sources into data warehouses or lakes. Cloud Infrastructure Management: Implement and manage data processing and storage solutions in AWS (Amazon Web Services) using services like S3, Redshift, Lambda, Glue, Kinesis, and others. Data Modeling: Collaborate with data scientists, analysts, and business stakeholders to define data requirements and design optimal data models for reporting and analysis. Performance Tuning & Optimization: Identify bottlenecks and optimize query performance, pipeline processes, and cloud resources to ensure cost-effective and scalable data workflows. Automation & Scripting: Develop automated data workflows and scripts to improve operational efficiency using Python, SQL, or other scripting languages. Collaboration & Documentation: Work closely with data analysts, data scientists, and other engineering teams to ensure data availability, integrity, and quality. Document processes, architectures, and solutions clearly. Data Quality & Governance: Ensure the accuracy, consistency, and completeness of data. Implement and maintain data governance policies to ensure compliance and security standards are met. Troubleshooting & Support: Provide ongoing support for data pipelines and troubleshoot issues related to data integration, performance, and system reliability. Qualifications: Essential Skills: Experience: 8+ years of professional experience as a Data Engineer, with a strong background in building and optimizing data pipelines and working with large-scale datasets. AWS Experience: Hands-on experience with AWS cloud services, particularly S3, Lambda, Glue, Redshift, RDS, and EC2. ETL Processes: Strong understanding of ETL concepts, tools, and frameworks. Experience with data integration, cleansing, and transformation. Programming Languages: Proficiency in Python, SQL, and other scripting languages (e.g., Bash, Scala, Java). Data Warehousing: Experience with relational and non-relational databases, including data warehousing solutions like AWS Redshift, Snowflake, or similar platforms. Data Modeling: Experience in designing data models, schema design, and data architecture for analytical systems. Version Control & CI/CD: Familiarity with version control tools (e.g., Git) and CI/CD pipelines. Problem-Solving: Strong troubleshooting skills, with an ability to optimize performance and resolve technical issues across the data pipeline. Desirable Skills: Big Data Technologies: Experience with Hadoop, Spark, or other big data technologies. Containerization & Orchestration: Knowledge of Docker, Kubernetes, or similar containerization/orchestration technologies. Data Security: Experience implementing security best practices in the cloud and managing data privacy requirements. Data Streaming: Familiarity with data streaming technologies such as AWS Kinesis or Apache Kafka. Business Intelligence Tools: Experience with BI tools (Tableau, Quicksight) for visualization and reporting. Agile Methodology: Familiarity with Agile development practices and tools (Jira, Trello, etc.) Job Type: Permanent Pay: ₹3,000,000.00 - ₹3,800,000.00 per year Benefits: Work from home Schedule: Day shift Monday to Friday Experience: AWS Glue Catalog : 3 years (Required) Data Engineering : 6 years (Required) AWS CDK, Cloud-formation, Lambda, Step-function : 3 years (Required) AWS Elastic MapReduce (EMR): 3 years (Required) Work Location: In person

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