3,647 provider data management jobs in India.

... working with Oracle, SQL Server, DB2, Teradata, or other relational databases.- Knowledge of Data Warehousing concepts and dimensional modeling.- Experience with DataStage components: Parallel Jobs, Server Jobs, Sequencers, Shared Containers, Job Parameters, Data Quality Stages.- Strong understanding of data integration and ...

... to standards topics including CDASH, SDTM, Terminology, ADaM, define-XML and regulatory submission requirements. - Managing the development and maintenance of data management processes and tools. - Keeping abreast of industry trends and regulatory updates related to data standards and ensuring their integration into ICON's ...

... ensure solutions meet enterprise requirements for scalability, reliability, security, performance, maintainability, and operational excellence. - Collaborate with Data Governance and Security teams to embed data privacy, compliance, access controls, and risk management principles into solution architectures. - Lead proof-of-concepts ...

... machine learning pipelines to support business strategy and customer decision points.- Extract, clean, and feature-engineer large-scale structured and unstructured datasets using statistical and computing tools.- Translate complex business requirements into automated, reusable analytical components and scalable data products.- ...

... Competitive Data Scientists with backgrounds in data science, machine learning, applied mathematics, or quantitative modeling, particularly those with experience in data science competitions such as Kaggle or DrivenData. You will design challenging technical tasks that require sound mathematical reasoning, practical coding ability, ...

... Lead and/or client as required and communicates with management regarding all data management (DM) activities within their studies. • Develops and maintains data management project documentation files; performs independent reviews of data management deliverables following documented CDM guidelines. • Develops and delivers ...

... modernization, legacy ETL replacement and target-state https://jobeax.com/link/Pzk6EX8UzmbZMhfb role combines architecture, technology evaluation, stakeholder management and structured assessment https://jobeax.com/link/OBuQgUNS3o4atl9t responsibilities : - Lead data modernization assessments from discovery through final recommendations.- ...

About the Organization: Vayanai is offering an internship opportunity for individuals interested in data analysis and data-driven problem-solving. The role provides an environment to work with analytical tools, interpret information, support business insights, and contribute to projects involving structured data and reporting. ...

... memory management, and failure mode handling. - Solid grounding in data architecture and databases (SQL, NoSQL, lakehouse, vector stores), including experience in data mesh or domain oriented data platforms. - Experience operating AI systems in real environments—security, access control, cost management, latency, reliability, ...

... scalable data pipelines from source systems. The Data Engineer will ensure the availability, reliability, and performance of data products by integrating raw data from various sources. Key responsibilities include data modeling, ETL (Extract, Transform, Load) development, and ensuring data quality and security. This role ...

... have strong data engineering fundamentals, experience in building and maintaining data pipelines, ETL/ELT processes, data integration, data transformation, and data warehouse https://jobeax.com/link/XnflZD2dGSZYgXFG Responsibilities : - Design, develop, and maintain scalable data pipelines and data processing workflows.- ...

... Support release management using versioning tools such as Azure DevOps Git and execute live deployments You'll thrive in this role if you bring: - Strengths in data analysis, data modeling, database design, and software development - Understanding of common system architecture frameworks and concepts, with technical awareness ...

... models including 3NF, Star Schema, and Snowflake Schema. Optimize Snowflake performance through query tuning, clustering, micro-partitioning, and warehouse management. Develop reusable and modular data transformation frameworks using DBT (Jinja, Macros, Testing, Documentation). Automate data ingestion, transformation, and ...

... move data from various sources into our Azure Data Lake and Data Warehouse.- Coding & Transformation : Write clean, efficient PySpark and Python code in Azure Databricks to clean, transform, and aggregate data.- Data Integration : Utilize Azure Data Factory (ADF) to orchestrate data movement and schedule automated workflows.- ...

... and maintain large-scale data pipelines using Azure Data Factory and Azure Databricks.- Build and optimize ETL/ELT workflows to extract, transform, and load data from various sources into Snowflake.- Use PySpark and Databricks for large-scale data processing and transformation.- Develop complex SQL queries and optimize ...

... Storage (ADLS).- Hands-on experience with Azure Data Factory (ADF) or Databricks Workflows.- Good understanding of Delta Lake, ETL / ELT pipelines and dimensional data modelling.- Experience integrating or processing SAP S/4HANA data.- Understanding of SAP business objects, data structures and enterprise data integration.- Experience ...

... 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 ...

... stories, data requirements, and acceptance criteria. - Hands-on experience with data validation, reconciliation, source-to-target mapping, UAT, and defect management. - Understanding of data flows, cloud platforms, data repositories, and reporting/visualization layers; experience working with Engineering, Data, Analytics, ...

... relevant to scientific data delivery and review. - Understanding of clinical or scientific data flows involving imaging, laboratory, vendor, or pharmacokinetic data. - Ability to review, reconcile, and validate complex datasets with accuracy and attention to detail. - Ability to identify data discrepancies and support timely ...

... unsupervised learning techniques.- Experience with feature engineering, model selection, hyperparameter tuning, and model evaluation.- Working knowledge of SQL and data extraction from relational databases.- Familiarity with data visualization tools such as Matplotlib, Seaborn, or Plotly.- Understanding of data cleaning, missing-value ...