... market intelligence. We empower the world's leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it. The entry of required data, as specified in the applicable detailed entry and category guidelines provided. General data entry guidelines that define how different fields ...
... scalable data systems that support next-generation products and analytics initiative. As a Senior Database Engineer, you will directly contribute to the company's data platform, database infrastructure, and analytics capabilities. By designing and maintaining scalable data pipelines and database solutions, you enable the organization ...
... support decision-making processes. 6. Maintaining confidentiality and security of sensitive information at all times. 7. Continuously seeking ways to improve data entry processes and efficiency within the company. If you are a detail-oriented individual with excellent typing skills and a passion for data accuracy, we invite ...
... Collaborating with team members to troubleshoot any data entry issues and discrepancies. 6. Providing support for various departments by entering and updating relevant data. 7. Upholding strict confidentiality and security measures to protect sensitive information. If you have a keen eye for detail, excellent typing skills, and a ...
... quality tools to ensure the accuracy, consistency, and reliability of data. Work on large data projects and able to manage client requirements, solution and data quality. Requirements: - 10+ years proficiency in SQL for data querying, manipulation, and analysis. - Expert in using MS Excel for complex data analysis and ...
... Python, Excel, and other business intelligence tools. Perform ad-hoc reports and analysis, as directed. Run and modify SQL queries to generate list reports from data sources. Generate data, identify problems within datasets, and resolve data discrepancies. Create dashboards and interactive custom visualizations using business ...
... requirements. Data Consultant : As a Data Consultant for the Data and Analytics team, you will work within a Professional Services team to support our customer's data platform on GW Cloud. You will also support the development of new tooling and methodology to streamline our data processes. Given the dynamic nature of the work ...
... and build scalable data processing systems. The ideal candidate should have hands-on experience working with large datasets, distributed computing, and modern data architectures. Key Responsibilities Design, develop, and maintain big data pipelines using Hadoop and Spark Build scalable data processing frameworks using Scala ...
... for data engineering workflows. Exposure to PII detection/redaction practices or data governance frameworks. Prior experience translating Tableau workbooks or Excel-based reports into another BI platform. Knowledge of EventBridge-driven architectures and SQS/SNS messaging patterns. AWS certifications (e.g., Data Analytics ...
... with LangChain , RAG , and agent workflows Translate business goals into production-ready AI applications Work with prompt engineering , embeddings, and vector databases Collaborate with engineering, product, and data teams on performance optimization Deploy AI solutions on AWS, Azure, or GCP and ensure cloud efficiency Requirements: ...
... SQLModel/SQLAlchemy. - Integrate microservices with ApigeeX for API management, security (authentication, authorization, rate limiting), monitoring, and analytics. - Excellent Programming/ Data Wrangling skills withsome languages likePython,R,Scala, Java, SQL - Skills inareas likeAgentic AI, GenAI,and some other traditional AI ...
... including DORA metrics (lead time, deployment frequency, MTTR, change-failure rate), code coverage, cyclomatic complexity targets, and P99 latency standards.- Data Governance & Enterprise Security: Drive the strategy and implementation for enterprise data governance, metadata management, data lineage, and strict GCP security ...
... LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, ...
... degree in data science, Mathematics, Statistics, Computer Science, or related field AND 5+ years related experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR master's degree in data science, Mathematics, Statistics, Computer Science, or related field AND 4+ ...
Principal Data Scientist with GenAI - 8+ years - BangaloreSummary :We are looking for an experienced Principal Data Scientist / GenAI professional who can independently develop, implement, and deploy Machine Learning and Generative AI use cases across functions. The role involves working closely with internal teams and ...
... enable reliable delivery of data products across analytics, AI/ML, and operational use cases. Guide technology, architecture, and engineering decisions across the data ecosystem to ensure scalability, maintainability, operational excellence, and long-term platform evolution. Establish engineering standards for building reliable, ...
We are looking for a Big Data Architect with experience designing scalable data solutions using Agile/SAFe practices, data mesh architecture, real-time streaming, cloud platforms, and modern data engineering technologies. The candidate should have a strong DataOps mindset and the ability to design solutions for testability, ...
... relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Senior Product Manager, Data Platform (India) ...
... knowledge and troubleshooting capabilities. Database backup and recovery. Database performance tuning and optimization. High availability and disaster recovery. Database security and access management. Database monitoring and capacity management. Database patching and upgrades. Data migration and database maintenance. Infrastructure ...
... infrastructure and scalable deployments 2+ years of experience in Data Science / Machine Learning / NLP - Proven experience in model training and fine-tuning using custom datasets - Hands-on experience with Hugging Face, PyTorch, or TensorFlow - Vector Databases: Pinecone, Milvus – for embeddings and semantic search in translation or ...