Job Description Your Role and Responsibilities Responsible for implementing a robust data estate using Microsoft Azure Stack. Responsible for creating reusable and scalable data pipelines. Responsible for developing and deploying Big Data BI Solutions across industries and functions. Responsible for the development and deployment of new data platforms. Responsible for creating reusable components for rapid development of data platform. Responsible to create high-level architecture and data modelling. Responsible to guide and mentor the development teams. Responsible for getting UAT and Go Live for Data platform projects. Play an active role in team meetings and workshops with clients. Required Technical and Professional Expertise Minimum of 4+ years of experience in Data Warehousing with Big Data or Cloud. Graduate degree educated in computer science or a relevant subject. Good software engineering principals. Strong in SQL queries and data models. Good understanding of OLAP & OLTP concepts and implementations. Experience in working on Azure Services like Azure Data Factory, Azure Function, Azure SQL, Azure Data Bricks, Azure Data Lake, Synapse Analytics etc. Knowledge of Power shell is good to have. Experience of working in Agile delivery model. Knowledge of Big Data technologies, such as Spark, Hadoop/MapReduce is good to have. Knowledge and practical experience of cloud-based at forms and their ML/DL offerings (such as Google GCP, AWS, and Azure) would be advantageous. Understanding of infrastructure (including hosting, container-based deployments, and storage architectures) would be advantage. Preferred Technical and Professional Experience 6+ years of experience in ELT/Data Integration for Data Warehousing, Data Lakes, and Business Intelligence. Expertise in data storage, ETL/ELT, and data analytics tools and technologies. Proven hands-on experience in designing, modelling, testing, and optimizing data warehousing & data lake solutions. Proficiency in SQL and Spark-based data processing. Experience with Azure cloud big data technologies Like Azure Data Factory, Azure Databricks, Fabric, Synapse, ADLS Gen2, etc. Strong understanding of data and analytics data architecture. Experience working with Agile methodologies (Scrum, Kanban) and in large transformational programs. Ability to document architecture and present solutions effectively. Strong data modelling skills (conceptual, logical, and physical). Experience with Python.

Job Description Your Role and Responsibilities Lead technology design discussions, propose architecture solutions, and drive technology decisions. Experienced in designing and delivering enterprise-level highly available solutions . Work closely with project management teams to effectively monitor the progress of implementation. Collaborate with the Pre-sales team on RFPs . Provide detailed specifications for proposed solutions. Experience in migrating applications to the cloud. Skilled in creating Data Lake and Data Warehouse solutions. Ability to implement solutions as per technical requirements. Expertise in identity, authentication, security, privacy, and compliance , including Active Directory, modern application architecture (Queues, Microservices, Containers, etc.) . Required Technical and Professional Expertise Strong project management and leadership skills . 4+ years of experience in developing IT and cloud infrastructure ( MS Azure, GCP ). Hands-on experience with MS Azure technology stack and related tools ( Databricks, Data Factory, Data Flow, Synapse Analytics, Synapse ML, Gen2 Storage, etc. ). Masters degree in computer science or software engineering (preferred). Current understanding of best practices for system security measures . Experience in software engineering and architectural design . Positive attitude in meeting challenges and working at a high level. Advanced understanding of business analysis techniques and processes . Azure ML experience (nice to have). Preferred Technical and Professional Experience MS Azure Certifications : Fundamentals, Solution Architect, Data Engineer.

Job Description Roles & Responsibilities Design and develop interactive dashboards and reports in Power BI based on business requirements. Ensure visualizations are user-friendly and provide actionable insights for stakeholders. Connect Power BI to various data sources (SQL, Excel, SharePoint, APIs, other cloud-based data sources) and perform necessary data transformations using Power Query Editor. Hands on Experience in Star and Snowflake schemas and model the data in Power BI as per best practices. Optimize Power BI reports and data models for better performance, including managing data refresh and query optimization. Troubleshoot and resolve performance-related issues in reports. Work with business users to understand their reporting needs and deliver solutions that meet those requirements. Translate business requirements into technical solutions and ensure the final product aligns with business goals. Stay updated on the latest Power BI features and best practices. Suggest and implement improvements to existing reports and processes based on feedback and evolving business needs. Required Technical and Professional Expertise Hands-on experience in designing and developing Power BI dashboards and reports. Strong expertise in DAX (Data Analysis Expressions) for both basic & advanced calculations of KPIs to implement business requirements. Expertise in data extraction, transformation, and loading (ETL) processes from various sources in Power BI. In-depth knowledge in Data Modelling strategies used for creating data models in Power BI. Knowledge of implementing Row-Level Security (RLS) and implement required data permissions to end users of the reports. Experience in Power BI service like Publishing & sharing of reports, creation of Power BI Dashboard at Service, use of Datasets/ Dataflows, Manage accesses etc. Strong understanding of BI methodologies, KPIs, and dashboard storytelling. Manage end-to-end lifecycle of BI projects, from requirements gathering and design to deployment and post-launch support. B.Tech/BE Computer Science degree would be needed. Preferred Skills Familiarity with cloud-based BI solutions, particularly in the Azure ecosystem. Microsoft Power BI Certification (PL-300, PL-600, or similar) is a plus. Strong problem-solving and analytical skills with attention to detail. Familiarity with Power Automate for automating data refreshes, workflows, and notifications within Power BI. Knowledge of Power BI Mobile for report accessibility across devices. M.Tech Computer Science degree would be preferred.

Your Role and Responsibilities 3+ years of experience in a Data Science, machine learning or a related field. Strong hands-on experience in Machine Learning and Statistics focusing on structured and unstructured data problems. Practical experience in several of the following areas: time series forecasting, clustering and classification techniques, regression, boosting algorithms, optimization techniques, NLP, recommendation systems, ElasticNet Excellent programming skills preferably in Python/Py spark and SQL Understanding of developing, implementing, deploying machine learning models on the cloud platforms(Azure, AWS, GCP) by using AWS/Azure Machine Learning, Data bricks, or other relevant cloud services Integrate machine learning models into existing systems and applications, ensuring seamless functionality and data flow Understanding of developing and maintaining MLOps pipelines for automated model training, testing, deployment, and monitoring Understanding of monitoring and analysing model performance, providing reports and insights to stakeholders as needed Familiarity with data processing and storage tools, such as SQL, Hadoop, or Spark Advanced engineering abilities to deliver flexible and scalable end-to-end machine learning solutions. Exposure to data visualization software and packages (Power BI, Tableau, matplotlib, d3) Understands challenges in business area, applicability of relevant data science disciplines, and system interactions. Excellent written and verbal communication skills, confidence in presenting ideas and findings to stakeholders, and ability to do so at the right level of detail. Required Technical and Professional Expertise Engineering Graduate from a reputed institute and/or Masters in Statistics, MBA 3+ years of Data science experience Strong expertise and deep understanding of machine learning. Strong understanding of SQL & Python. Knowledge of Power BI or Tableau is a plus Exposure to Industry specific (CPG, Manufacturing) use cases is required Strong client-facing skills Must be organized and detail oriented. Excellent communication and interpersonal skills Preferred Technical and Professional Experience Strong foundation in Supervised and Unsupervised Learning (Regression, Classification, Clustering, etc.). Proficiency in Ensemble Learning (Random Forest, Gradient Boosting, XGBoost, LightGBM, etc.). Experience in fine-tuning Large Language Models (LLMs) and working with open-source models (Llama, GPT, BERT, etc.). Familiarity with Prompt Engineering, RAG (Retrieval-Augmented Generation), and Fine-tuning techniques. Hands-on experience with Cloud Platforms (AWS, GCP, Azure) for ML model deployment. Familiarity with MLOps and Model Deployment using Kubernetes, Docker, and MLflow.

Role Overview: We are looking for a highly motivated and detail-oriented Talent Acquisition Intern to support our hiring team in attracting, sourcing, and recruiting top talent. This is a great opportunity to understand end-to-end recruitment while contributing to key talent initiatives. Key Responsibilities: Assist in sourcing candidates through job portals, LinkedIn, social media, and internal databases. Screen resumes and coordinate initial levels of candidate evaluation. Schedule and coordinate interviews with hiring managers. Maintain recruitment trackers and databases. Assist in drafting and publishing job descriptions. Support in employer branding initiatives and recruitment campaigns. Support in employer branding initiatives and recruitment campaigns. Requirements: Pursuing or recently completed Bachelor's or Masters degree in HR, Business Administration, or related field. Strong communication and interpersonal skills. Ability to multitask and work in a fast-paced environment. Proficiency in MS Office (Word, Excel, PowerPoint). Enthusiastic, eager to learn, and open to feedback. What Youll Gain: Hands-on experience in end-to-end recruitment process. Exposure to HR tools and Applicant Tracking Systems (ATS). Opportunity to work closely with experienced Talent Acquisition professionals. Certificate of Internship and Letter of Recommendation (based on performance).

Role Overview: We are looking for a highly motivated and detail-oriented Talent Acquisition Intern to support our hiring team in attracting, sourcing, and recruiting top talent. This is a great opportunity to understand end-to-end recruitment while contributing to key talent initiatives. Key Responsibilities: Assist in sourcing candidates through job portals, LinkedIn, social media, and internal databases. Screen resumes and coordinate initial levels of candidate evaluation. Schedule and coordinate interviews with hiring managers. Maintain recruitment trackers and databases. Assist in drafting and publishing job descriptions. Support in employer branding initiatives and recruitment campaigns. Support in employer branding initiatives and recruitment campaigns. Requirements: Pursuing or recently completed Bachelor's or Masters degree in HR, Business Administration, or related field. Strong communication and interpersonal skills. Ability to multitask and work in a fast-paced environment. Proficiency in MS Office (Word, Excel, PowerPoint). Enthusiastic, eager to learn, and open to feedback. What Youll Gain: Hands-on experience in end-to-end recruitment process. Exposure to HR tools and Applicant Tracking Systems (ATS). Opportunity to work closely with experienced Talent Acquisition professionals. Certificate of Internship and Letter of Recommendation (based on performance).

Immediate Joiner!!!! Job Description Roles & Responsibilities 1. Develop Power BI Reports/ Dashboards: Design and develop interactive dashboards and reports in Power BI based on business requirements. Ensure visualizations are user-friendly and provide actionable insights for stakeholders. 2. Data Integration, Transformation & Modelling: Connect Power BI to various data sources (SQL, Excel, SharePoint, APIs, other cloud-based data sources) and perform necessary data transformations using Power Query Editor. Hands on Experience in Star and Snowflake schemas and model the data in Power BI as per best practices. 3. Performance Optimization: Optimize Power BI reports and data models for better performance, including managing data refresh and query optimization. Troubleshoot and resolve performance-related issues in reports. 4. Collaboration with Stakeholders: Work with business users to understand their reporting needs and deliver solutions that meet those requirements. Translate business requirements into technical solutions and ensure the final product aligns with business goals. 5. Continuous Improvement: Stay updated on the latest Power BI features and best practices. Suggest and implement improvements to existing reports and processes based on feedback and evolving business needs. Required Technical and Professional Expertise Hands-on experience in designing and developing Power BI dashboards and reports. Strong expertise in DAX (Data Analysis Expressions) for both basic & advanced calculations of KPIs to implement business requirements. Expertise in data extraction, transformation, and loading (ETL) processes from various sources in Power BI. In-depth knowledge in Data Modelling strategies used for creating data models in Power BI. Knowledge of implementing Row-Level Security (RLS) and implement required data permissions to end users of the reports. Experience in Power BI service like Publishing & sharing of reports, creation of Power BI Dashboard at Service, use of Datasets/ Dataflows, Manage accesses etc. Ability to analyse and optimize Power BI report performance, refresh times, and dataset efficiency. Strong understanding of BI methodologies, KPIs, and dashboard storytelling. Excellent communication and collaboration skills to work with cross-functional teams. Manage end-to-end lifecycle of BI projects, from requirements gathering and design to deployment and post-launch support. Preferred Skills Familiarity with cloud-based BI solutions, particularly in the Azure ecosystem. Microsoft Power BI Certification (PL-300, PL-600, or similar) is a plus. Strong problem-solving and analytical skills with attention to detail. Familiarity with Power Automate for automating data refreshes, workflows, and notifications within Power BI. Knowledge of Power BI Mobile for report accessibility across devices.

Job Description Were looking for a Senior Content Writer & Strategist at Polestar Solutions to join our dynamic Marketing team. They’ll be responsible for strategizing and creating high quality written materials that resonate with our target audience. We’re looking for someone who possess a blend of creativity, strategic thinking, and strong writing skills. Your Role and Responsibilities Content Creation : Develop engaging and informative content for website, blogs, eBooks, social media, presentations, guest blogging, PR, email campaigns, and other marketing channels. Research & Analysis : Periodically research and review the business communication and collaterals of contemporary companies/ OEMs/ any relevant material to create strong differentiation Content Editing & Proofreading : Review and refine content of the team for accuracy and clarity. Content Distribution : Strategize and distribute produced content across multiple channels and mediums Performance Monitoring : Analyse & develop content performance metrics and adjust strategies to optimize engagement and effectiveness. Cross-functional Collaboration : Work alongside design, product, and sales teams to ensure cohesive messaging across all platforms and act as a marketing liaison between teams. Required Technical and Professional Expertise Bachelor's or master's degree in journalism, English, Communications, Business Management or a related field. Minimum 5 years of experience in content and copy writing in an AI/Analytics/ SaaS/ IT/Technology environment with focus on Analytics. Proven experience in deploying business-focused literature, from idea to execution. Demonstrable writing and copy-editing skills for various formats relevant to the B2B environment. Expertise in researching from high-quality and authentic sources. Familiarity/ Zeal to understand established and emerging technologies and Analytics concepts. Capability to use GPT/LLMs but in compliance with EEAT guidelines. Preferred Technical and Professional Experience Deep understanding of the AI, Analytics, SaaS, data and IT services landscape, including current trends, challenges, and key players. Experience in developing content strategies aligned with SEO best practices and keyword research within the technology sector. Proven ability to create content that targets specific buyer personas within the B2B technology space. Successful track record of contributing to thought leadership initiatives, such as white papers, industry reports, or webinars. Experience collaborating with subject matter experts and technical teams to create accurate and insightful content.