Health insurance

Job/Soft skill training

Knowledge Foundry Reviews by Employees

Data Scientist

Job Summary : We are looking for a detail-oriented Infrastructure Administrator with proven expertise in managing enterprise IT tools and cloud platforms. You will be responsible for setting up, configuring, and maintaining key systems like Tableau, AWS Resources, SAP BO, Collibra, SAS, and Alteryx. Key Responsibilities : - Manage administration of Tableau Server, SAP BO, Alteryx Server, and AWS Services. - Handle access provisioning, license management, and user governance for Collibra and Power Designer. - Oversee system stability, performance optimization, and backup strategies. - Monitor tool usage, patch versions, and ensure software compliance. - Collaborate with IT and Data Governance teams for secure infrastructure practices. Must-Have Skills : - Experience administering Tableau Server, including user permissions and dashboards - Proficiency in managing AWS Resources (IAM roles, EC2, S3, monitoring tools) - Strong working knowledge of Collibra and Information Steward for data governance - Experience managing SAS, Alteryx Server, and other enterprise data tools Nice-to-Have Skills : - Familiarity with Power Designer, Datagrip, and metadata repository tools - Knowledge of enterprise security policies, auditing, and patch management - Experience in regulated sectors like insurance, banking, or government

Bangalore

Infrastructure Administrator - AWS/Tableau/Collibra/SAS (4-10 yrs)

Job Summary : We are seeking a proactive and experienced BI Developer/Support Specialist to join our Business Intelligence team. The ideal candidate should have a strong background in data visualization and business reporting using Tableau, SAP BusinessObjects, and Alteryx. This position is integral in supporting key decision-making processes across business units by providing insightful and high-quality dashboards and reports. Key Responsibilities : - Design, develop, and maintain Tableau dashboards to visualize KPIs and business metrics. - Support and enhance reporting functionalities in SAP BO (Web Intelligence, Crystal Reports). - Develop Alteryx workflows for data preparation and automation. - Collaborate with business stakeholders to understand data/reporting needs. - Perform data validation, error handling, and provide ad hoc reporting support. - Ensure reports are optimized for performance and scalability. Must-Have Skills : - Advanced proficiency in Tableau (LODs, dashboard actions, calculated fields, parameters) - Experience in developing and supporting SAP BusinessObjects reports (Web Intelligence, Crystal Reports) - Hands-on experience in Alteryx Designer for complex data workflows - Strong SQL skills and familiarity with data modeling and data warehousing Nice-to-Have Skills : - Experience with Tableau Server administration, report scheduling, and user roles - Understanding of domain-specific KPIs in insurance or retirement planning - Knowledge of version control systems like Git and integration into BI pipelines

BI Developer/Support Engineer (4-9 yrs)

Job Summary : We are looking for a skilled Support Engineer to manage and troubleshoot AWS-based data systems supporting both frontend and backend applications. You will play a vital role in ensuring operational uptime, system availability, and incident resolution for enterprise-grade platforms. Key Responsibilities : - Monitor AWS-hosted environments (S3, Lambda, RDS, EC2) for performance and health. - Provide L2/L3 production support for real-time and batch data workflows. - Perform root cause analysis and incident reporting. - Create monitoring scripts, automate routine checks, and participate in release deployments. - Collaborate with development, DevOps, and cloud infrastructure teams. Must-Have Skills : - Proficiency in AWS infrastructure monitoring (CloudWatch, CloudTrail, Lambda logs) - Strong knowledge of CI/CD pipelines (Jenkins, GitHub Actions, CodePipeline) - Experience writing automation scripts in Python, Shell, or PowerShell - Prior work supporting Enterprise Data Warehouse environments Nice-to-Have Skills : - Familiarity with Terraform or CloudFormation for infrastructure as code - Experience working under ITIL or similar service management frameworks - Basic knowledge of frontend monitoring tools like Datadog or New Relic

Support Engineer - AWS Enterprise Data Stack (4-10 yrs)

Job Description : Senior Data Engineer/Architect with at least 6 years of experience in designing, developing, and optimizing data pipelines, data lakes, and cloud-based data architectures. Skilled in implementing scalable data solutions using Databricks SQL and AWS services, ensuring data quality, security, and performance. Proven ability to collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to deliver high-impact data solutions that drive business insights and operational excellence. Key Qualifications : Cloud Data Architecture & Engineering : - Expertise in designing and implementing cloud-based data architectures using AWS services such as S3, Glue, Redshift, Athena, Lambda, and EC2. - Experience in setting up data lakes, data warehouses, and ETL pipelines optimized for performance and cost efficiency. Databricks Expertise : - Strong proficiency in using Databricks SQL for data processing, transformation, and analysis. - Skilled in developing and optimizing Spark-based ETL jobs and ensuring seamless integration of Databricks with AWS cloud services. Data Pipeline Development : - Experience in building and maintaining scalable and fault-tolerant data pipelines using tools like Apache Spark, Airflow, and AWS Glue. - Ability to ingest, transform, and aggregate large volumes of structured and unstructured data efficiently. SQL & Data Modeling : Expertise in SQL programming for data extraction, transformation, and loading (ETL). Experienced in designing and optimizing data models, including dimensional modeling, star schema, and OLAP solutions to enhance query performance. Data Governance & Security : - Proficient in implementing data governance frameworks, managing data quality, ensuring compliance with data privacy regulations, and configuring IAM roles, policies, and VPCs to protect sensitive data in AWS environments. Collaboration & Stakeholder Management : - Skilled at partnering with business teams, data analysts, and data scientists to gather requirements, translate them into scalable data solutions, and continuously optimize data workflows to meet evolving business needs. Performance Optimization : - Proven ability to optimize ETL pipelines and SQL queries, ensuring efficient data processing and reduced latency. - Expertise in implementing partitioning, indexing, caching, and other optimization techniques in AWS and Databricks environments. Technical Skills : - Cloud & Data Platforms : AWS (S3, Glue, Redshift, Lambda, Athena, EMR), Databricks, Apache Spark - SQL & Scripting : Databricks SQL, Python, PySpark, SQL, Scala - Data Engineering Tools : Apache Airflow, AWS Glue, Delta Lake - Data Modeling : Star Schema, Snowflake Schema, Dimensional Modeling - Security & Governance : IAM, VPCs, Encryption, Data Privacy Regulations - CI/CD & Automation : Terraform, AWS CloudFormation, Git, Jenkins Certifications (Preferred but not mandatory) : - AWS Certified Data Analytics Specialty - Databricks Certified Data Engineer Professional - AWS Certified Solutions Architect - Associate

Senior Data Engineer - SQL/Python (6-11 yrs)

Job Description AI Architect with at least 5 years of experience designing and deploying enterprise-grade AI/ML solutions, specializing in Databricks, MosaicML, and Large Language Models (LLMs). Expertise in building scalable AI architectures that integrate deep learning, natural language processing (NLP), and MLOps best practices to enable real-time decision-making and predictive insights. Proven ability to collaborate with cross-functional teams to operationalize AI models while ensuring data security, scalability, and performance in cloud environments. Key Qualifications AI/ML Architecture & Deployment : Extensive experience in designing and deploying end-to-end AI pipelines using Databricks and MosaicML. Expertise in model training, fine-tuning, and inferencing of LLMs, ensuring optimal performance and cost-efficiency in production environments. Databricks Expertise : Strong hands-on experience with Databricks for data processing, model training, and model serving. Proficient in using Databricks Workflows, MLflow, Delta Lake, and advanced SQL/Scala/PySpark for building scalable AI pipelines. MosaicML Proficiency : Proven expertise in utilizing MosaicML for fine-tuning and training foundation models, leveraging model compression and distributed training techniques to reduce latency and enhance model performance. LLM & NLP Expertise : In-depth knowledge of Large Language Models (LLMs), including OpenAI, GPT models, BERT, LLaMA, and custom fine-tuning techniques. Experienced in building conversational AI, semantic search, text classification, and other NLP-based applications. Model Optimization & MLOps : Experience in implementing MLOps pipelines with tools like MLflow, Kubeflow, and Airflow to automate model training, versioning, deployment, and monitoring. Skilled in optimizing model inference with techniques such as quantization, pruning, and distributed inferencing. Data Pipeline & Feature Engineering : Expert in designing feature stores and scalable data pipelines using Apache Spark, Databricks Delta, and AWS Glue to facilitate efficient feature generation, model retraining, and data versioning. Cloud AI/ML Infrastructure: Proficiency in AWS, Azure, and GCP with expertise in setting up AI environments using EC2, S3, EKS, Lambda, and SageMaker. Ability to design fault-tolerant and highly available AI/ML infrastructure on cloud platforms. AI Governance & Security: Experience in implementing AI governance frameworks, ensuring compliance with AI ethics, bias mitigation, and explainability. Knowledge of data privacy, GDPR, and model interpretability in enterprise environments. Preferred Experience Experience with RAG (Retrieval Augmented Generation) pipelines and semantic search Familiarity with vector databases such as Pinecone, FAISS, and Weaviate Exposure to LangChain, Hugging Face, and OpenAI APIs Experience in building custom AI/LLM solutions tailored to enterprise use cases Technical Skills : AI/ML Platforms: Databricks, MosaicML, SageMaker, Azure ML, GCP AI Programming & Frameworks: Python, PyTorch, TensorFlow, Hugging Face, PySpark, SQL MLOps & Orchestration: MLflow, Kubeflow, Airflow, Docker, Kubernetes, CI/CD LLM & NLP Models: GPT-3/4, BERT, LLaMA, Falcon, BLOOM, T5, LangChain Databricks Tools: Databricks SQL, Delta Lake, AutoML, Unity Catalog Cloud Platforms: AWS (S3, EC2, Lambda), Azure, GCP Version Control & Automation: Git, Jenkins, Terraform, CloudFormation Certifications (Preferred but not mandatory) : Databricks Certified Professional - Data Engineer/AI Engineer MosaicML Certification in Model Training & Optimization AWS Certified Machine Learning - Specialty Microsoft Certified: Azure AI Engineer Associate"

Artificial Intelligence Architect - LLM Models (6-11 yrs)

Job Description : Knowledge Foundry is looking for an experienced Data Visualization Specialist to join our team in a full-time permanent role. The ideal candidate will be responsible for designing, developing, and optimizing interactive dashboards and reports using Power BI, Spotfire, and Power Apps while working with large and complex pharma forecast data. The role requires expertise in SQL, Python, and Excel for data analysis and manipulation, along with a strong understanding of pharma forecasting metrics such as IQVIA MIDAS, KANTAR, and GLOBOCAN. The candidate should also be familiar with clinical trial data systems and concepts like incidence, prevalence, epidemiology metrics, dosage, and line of therapy. Key Responsibilities : - Design, develop, and maintain interactive dashboards using Power BI, Spotfire, and Power Apps - Perform data manipulation, transformation, and analysis using SQL, Python, and Excel - Work with relational databases, data lakes, and clinical trial data systems for efficient data extraction and visualization - Collaborate with business stakeholders to understand requirements and deliver insightful, high-impact reports - Optimize dashboards and queries for performance, scalability, and efficiency - Interpret and work with pharma forecast data sources, including IQVIA MIDAS, KANTAR, and GLOBOCAN - Apply forecasting funnel concepts such as incidence, prevalence, epidemiology metrics, units, patients, dosage, and line of therapy - Ensure data accuracy, consistency, and integrity across all reporting solutions Required Skills & Qualifications : - Bachelor's/Master's degree in Computer Science, Data Analytics, or a related field - 5-7 years of experience in leading report development and dashboard design - Expertise in : Power BI, Spotfire, Power Apps - Data Analysis & Manipulation : SQL, Excel, Python - Data Sources : Relational databases, Data Lakes, Clinical Trial Data Systems - Pharma Forecast Data Exposure Preferred : IQVIA MIDAS, KANTAR, GLOBOCAN - Strong understanding of forecasting funnel concepts (Incidence, Prevalence, Epidemiology Metrics, Patients, Dosage, Line of Therapy, etc.)

Pune

Knowledge Foundry - Data Visualization Specialist - Power BI Reporting (5-10 yrs)

Knowledge Foundry is looking for an experienced Frontend Developer - Specialist to join our team as a full-time permanent employee. The ideal candidate will have a strong background in developing web applications, with expertise in JavaScript (ES6+), React, HTML5, CSS3 (Sass, Bootstrap), and data visualization tools like Python Dash, Plotly, R, and Power BI. We seek a professional who can translate complex data into visually appealing and interactive dashboards, work with UI/UX concepts and design tools like Figma, and optimize applications for performance, scalability, and responsiveness. Key Responsibilities : - Develop, optimize, and maintain high-performance web applications using React, JavaScript (ES6+), HTML5, and CSS3 (Sass, Bootstrap) - Implement interactive data visualization using Python Dash, Plotly, R, and Power BI - Collaborate with UI/UX designers to build intuitive, user-friendly interfaces based on Figma designs - Optimize web applications for speed, responsiveness, and scalability - Work with version control systems like Git and GitHub to manage codebase efficiently - Debug and troubleshoot front-end performance issues - Stay updated with the latest front-end technologies and best practices Required Skills & Qualifications : - Bachelor's/Master's degree in Computer Science, Software Engineering, or a related field - 5-7 years of experience in developing web applications using React and JavaScript (ES6+) - Data Visualization : Python Dash, Plotly, R, Power BI - UI/UX & Design Tools : Figma, CSS3 (Sass, Bootstrap) - Version Control : Git, GitHub - Experience in optimizing front-end performance and scalability

Knowledge Foundry - Frontend Developer - Web Applications (5-7 yrs)

About the Role : We are seeking a highly skilled Data Engineer with expertise in Python, SQL, and Cloud Platforms (AWS & Azure) to join our team in Pune. The ideal candidate will have strong ETL experience, hands-on exposure to cloud-based data handling, and a deep understanding of DevOps tools. Pharma forecasting data exposure is a plus. Key Responsibilities : - Design, develop, and optimize ETL pipelines for data ingestion and processing. - Work with AWS (S3, EC2, Lambda) & Azure (Data Lake, Azure Functions) to handle large-scale data processing. - Develop and maintain Python-based data pipelines using Pandas, NumPy, and Dash. - Write and optimize complex SQL queries across MySQL, PostgreSQL, and NoSQL databases. - Implement DevOps best practices using Jenkins, Git, and GitHub. - Collaborate with cross-functional teams to manage, analyze, and extract insights from pharma forecasting data (IQVIA MIDAS, KANTAR, GLOBOCAN preferred). - Apply forecasting metrics such as incidence, prevalence, dosage, and therapy lines to enhance data accuracy. Required Skills & Experience : - 5-7 years of experience in Python programming, specializing in data handling, ETL processes. - Strong expertise in SQL for querying cloud-based data. - Hands-on experience with AWS (S3, EC2, Lambda) & Azure (Data Lake, Functions). - Familiarity with DevOps tools like Jenkins, Git, GitHub. - Experience with MySQL, PostgreSQL, and NoSQL databases. - Certification in AWS Solutions Architect / Microsoft Azure Data Engineer (preferred). - Pharma data forecasting exposure (IQVIA MIDAS, KANTAR, GLOBOCAN) is a plus. - Strong analytical skills with the ability to work in a fast-paced environment. Location : Pune (Onsite & Non-Negotiable). Why Join Us? - Opportunity to work on cutting-edge cloud-based data engineering projects. - Work with industry-leading pharma datasets for impactful insights. - Fast-track your career with a dynamic and growth-focused environment. - Competitive salary & benefits package. - Immediate joiners preferred! Apply now and be a part of our data-driven innovation journey.

Knowledge Foundry - Data Engineer - Python/SQL/ETL (5-8 yrs)

Job Description : We are looking for an experienced Statistical Forecast Model Developer - Specialist to join our team. The ideal candidate will have 5-7 years of experience in developing statistical forecasting models for the pharmaceutical industry. You will work with Python, R, SQL, and advanced machine learning techniques to enhance forecasting accuracy and drive business decisions. Key Responsibilities : - Develop and optimize statistical forecasting models tailored for pharma analytics - Utilize Python & R with statistical libraries (Pandas, NumPy, Scikit-learn, StatsModels, Tidyverse, caret) - Perform data manipulation using SQL & Excel - Leverage data visualization tools (Matplotlib, Seaborn, ggplot2) to present insights - Apply machine learning techniques for demand forecasting and model evaluation (cross-validation, ROC curves) - Must have Pharma Statistical model developing experience. - Work closely with stakeholders to align forecasting models with business objectives Required Skills & Qualifications : - 5-7 years of experience in statistical modeling & forecasting for pharma industry - Proficiency in Python, R, and relevant statistical & ML libraries - Strong knowledge of SQL & Excel for data extraction and transformation - Experience in data visualization (Matplotlib, Seaborn, ggplot2) - Deep understanding of machine learning and model evaluation techniques - Ability to convert complex data into actionable business insights Why Join Us? - Opportunity to work on cutting-edge statistical models in the pharma industry - Be a part of a high-impact analytics team - Competitive salary, growth opportunities, and a data-driven work culture Apply Now! If you are passionate about statistical modeling and want to make an impact in the pharmaceutical industry, wed love to hear from you!

Knowledge Foundry - Pharma Statistical Forecast Model Developer - R/Python (5-10 yrs)

Apply to 9 Knowledge Foundry jobs on Hirist.tech, India's No.1 IT job portal. Explore IT job in Knowledge Foundry Now! 

Jobs by location

Knowledge Foundry Jobs

Explore Jobs based in trending companies