151 data entry com jobs in Hyderabad, India.

... distributed software and cloud systems, demonstrating deep mastery of OOP and modern .NET/C# REST APIs. - Deep expertise in SQL Server (relational schema design, complex joins, views, and aggregations), along with hands-on experience building scalable data pipelines on Amazon Redshift and Databricks (Delta Lake, Unity Catalog), ...

... Required): LLM training data prep (chat templates, tool-calling schemas); Axolotl or similar dataset formats; data versioning (DVC, LakeFS); browser-automation trace data or Playwright. Benefits - Comprehensive Medical Coverage: Health insurance of INR 5.0 Lakhs for you and your family (up to 6 members), ensuring complete peace ...

... Must to have : SAS Good to have: Phyton · Maps data fields from source systems to the data model, ensuring data consistency and integrity. · Analyze customer data to identify trends and patterns, providing actionable insights. · Gather, clean, and preprocess customer data from various sources. · Use data analysis tools ...

... MD community on site level, incl. data content owner/ MD users and conduct impact analyses for upcoming site project - Contributing to the education of the MD community - Monitoring the SLA of the MD creation / modification/ deactivation processes, and supporting the development of KPIs, data quality dashboards and scorecards ...

... events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. ...

... Identifies ways to improve data reliability, efficiency and quality of data management. ● Assesses the integrity of data from multiple sources. ● Works in tandem with Data Architects, Data Stewards and Data Quality Engineers to design data pipelines and recommends ongoing optimization of data storage, data ingestion, data quality ...

Senior Tech Specialist, Applications & Platforms []

... •Cross-cultural experience and functional breadth in managing clinical data management activities. •Ability to recognize and resolve protocol issues that may impact database design, data validation, and analysis/reporting. Excellent communication and interpersonal skills to build and maintain effective working relationships with ...

... ensure "Privacy by Design" is integrated into the development lifecycle. - Data Mapping: Maintain a comprehensive record of processing activities (ROPA) and data flow diagrams. - Privacy Operations: Manage the Data Subject Access Request (DSAR) process and coordinate responses to privacy-related inquiries. - Compliance ...

... system integrations - Help maintain underlying AWS infrastructure for data connectivity - Collaborate with service delivery teams to ensure high-quality, reliable data is available for their analysis and reporting - Respond to data connectivity trouble tickets and work the issues to completion - Work with the connectivity team ...

Job Description Job summary: As a manager of Data & Analytics, you will need to liaise with Compliance Test Managers to understand compliance activities and define Analytical & automation solutions to drive efficient Compliance Testing and define new compliance Testing models using analytics. You will lead a team of highly ...

... of supply chain processes including demand planning, inventory management, logistics, and S&OP/IBP cycles. - Data Architecture — Experience designing scalable data architectures (data lakes, data warehouses, medallion architecture). - Education — Bachelor's or master's degree in computer science, Engineering, Data Science, ...

... Lead data quality and validation activities across SAP S/4HANA migration programs. - Define and execute validation strategies for Master Data and Transactional Data throughout mock cycles, dress rehearsals, and production cutovers. - Partner with Data Migration and Data Validation teams to ensure completeness, accuracy, consistency, ...

... customers, employees, and communities. The Role Veeva is looking for a highly motivated individual with life science industry experience within the Clinical Data domain. You will drive impactful product communication and champion customer success with our Clinical Data Management applications, Veeva EDC and Veeva DQS, ...

... planning. About you Experience: - 10+ years of experience in pharmaceutical industry with commercial analytics experience, understanding of key process such as Data Management, Data Strategy, Data Stewardship, Data Quality and Data Governance - Extensive understanding of commercial operations and operating model. - People ...

... SQL - complex query writing, optimisation, and performance tuning across relational and columnar databases (MSSQL, Snowflake, PostgreSQL).- Familiarity with data governance principles and data stewardship practices - including data quality management, data lineage, metadata management, and data cataloguing (e.g. Microsoft ...

... strategies to optimize data warehousing expenses while maintaining high service levels.- Ensure data security, compliance, and governance are integrated into all data warehousing processes to meet regulatory and organizational standards.- Establish and maintain robust metadata management practices to ensure data quality and ...

... management, consent, compliance, and omnichannel engagement. - Experience with healthcare and commercial data ecosystems, including IQVIA and customer reference data. - Knowledge of Snowflake, Azure data services, enterprise data warehouses, analytics platforms, and modern data architecture patterns. - Experience with Salesforce ...

... platforms like snowflake with hands on SQL and PL/SQL functions. - Experience in financial services industry primarily on Financial Risk management for different types of securities like equities, treasuries, Mortgage-backed securities. - Strong knowledge of Data warehousing concepts and Large scale Data pipelines. []

... Strong understanding of big data frameworks, specifically Spark and Hive, with the ability to manage and query large-scale datasets effectively.- Solid grasp of data structures and algorithms to design efficient data processing workflows that handle high-velocity autonomous vehicle data.- Proven ability to communicate technical ...