1,895 data typing jobs in India.

... etc Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities. Experience handling un-structured data, working in a data lake environment, leveraging data streaming and developing data pipelines driven ...

... demonstrate hybrid Data Scientist capabilities alongside the ability to design, develop and deliver applications that provide business insights. GCIO & GCOO Data is a global team within CTO Data that delivers data governance, data management, MI / reporting and analytics for key Businesses and Group Organizational infrastructure ...

... 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 are to be recorded ...

Job Description Key Responsibilities: Install, configure, and upgrade SQL Server instances (2016/2019/2022) Monitor database performance, health, and capacity proactively identify and resolve issues Implement and manage backup/restore strategies ensure disaster recovery readiness Manage database security: logins, roles, ...

... analysis a part of the output) to the client as a part of decision-making. Evaluate and select the tools and components necessary for optimal data management (data acquisition, data storage, data quality, data governance, data visualization). Client data handling, generally high size of data. Loading, analyzing the data ...

Front face customer to understand data requirements and analyse data Build solutions and systems to manage data and analytics workload Improve reliability, quality, and time-to-market of our suite of software solutions. Responsibilities: Using SQL/Python to extract data from primary and secondary sources Performing analysis ...

... Perform data cleaning and preprocessing to prepare datasets for analysis. Write complex SQL queries to extract, manipulate, and analyze data from relational databases. Work with cloud platforms (e.g., AWS, Azure, Google Cloud) to store, manage, and analyze data. Use statistical techniques and software to analyze datasets, ...

... hands-on experience in ML libraries (scikit-learn, XGBoost, TensorFlow, etc.). Expert knowledge of SQL and working with relational databases. Proven experience with data wrangling, data pipelines, and ETL processes. Deep Understanding of AI Tools for Data Analytics (Experience with several of the following is required): Data Preparation ...

... analysis a part of the output) to the client as a part of decision-making. Evaluate and select the tools and components necessary for optimal data management (data acquisition, data storage, data quality, data governance, data visualization). Client data handling, generally high size of data. Loading, analyzing the data ...

... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...

... 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 ...

... veteran status, etc., We consider all applications based on merit and suitability to the role.” Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. ***Issued By HSBC Electronic Data Processing (India) Private LTD***

... supervised, unsupervised, and reinforcement learning methods where relevant.- Time Series Analysis : Conduct forecasting and trend analysis for marketing and sales data.- Leadership : Mentor junior data scientists, set modeling standards, and ensure delivery excellence.- Collaboration : Work closely with marketing, product, and ...

... every day. It is one of the world's largest IT infrastructure services providers and supports thousands of customers across more than 60 countries. Job Title: Data Analyst-Data Validation Work Mode: Hybrid Experience: 8+ yrs. Job Type : Contract to hire. Immediate joiners. Strong experience in SQL and Python Ability to engage ...

... airports, infrastructure and border checkpoints. It brings all security operation information together onto a single, integrated and secure platform to achieve 100% data inspection of all cases. Using insights produced through machine learning, artificial intelligence (AI) and data science, our platform enables people to make ...

... partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Senior Data Analyst Product Data & Analytics Team Senior Data Analyst – Product Data & Analytics Product Data & Analytics team builds internal analytic partnerships, strengthening ...

... solutioning for RFPs, pre-sales, and client workshops - Drive AI innovation and roadmap contributions within Newgen's product suite - Mentor and lead a team of data scientists Skills & Experience: - Strong exposure to LLMs, RAG, agent frameworks, orchestration patterns - Solid foundation in machine learning and data science ...

... pipelines using dbt Core (self-hosted via Cloud Run) and BigQuery. Program and orchestrate serverless data flows using GCP Cloud Functions, Cloud Scheduler, and Dataflow (Python). Data Modeling & SQL Excellence: Develop complex, maintainable SQL solutions and perform advanced data modeling (partitioning, clustering) in BigQuery ...

... Design statistical forecasting and optimization models to support business planning and decision-making. Ingest and process large volumes of data from APIs, databases, and structured/unstructured sources. Perform data transformation, feature engineering, and advanced analytics using PySpark and SQL on Databricks. Leverage ...

... modular Python code, reusable analytic functions, and maintainable data pipelines. - Familiarity with cloud data platforms (e.g., AWS, GCP, or Azure) and common data services used to store, process, and query large datasets. - Work seamlessly across Data Science, Engineering, Product, DevOps, and Data Engineering teams to ...