24,064 bsnl electronic data entry jobs in India.

... Market Data & Vendor Integrations within the Opterra platform, and help shape the next-generation Market Data Connectivity system being built for configurability, data lineage, and transparency, with AI as a core part of the design. Key Responsibilities - Own the roadmap for market-data and vendor integrations across providers ...

... analytical data platforms for Mobile AdTech using Java, Spark, Kafka, Snowflake, SQL, and AWS. Strong understanding of real-time event processing, distributed data systems, and data warehouse architectures. Familiarity with distributed query engines, modern data lake technologies, and high-performance analytical databases ...

... Maintain data lineage, traceability, and validation evidence to support auditability and reproducibility.- Collaborate with Data Engineers, Analytics Engineers, Data Scientists, and AI/ML teams to improve data quality and validation https://jobeax.com/link/MirvQRp3VJnXim2b Skills : - 3 - 7 years of experience in Data Testing, ...

... Responsibilities: BAU Production (Expert-Level Execution) - Perform advanced data coding, data matching, and transformation tasks. - Run thorough quality checks to ensure data accuracy and consistency. - Audit the applied stakeholder-requested changes to datasets with precision. - Ensure timely and accurate delivery of data outputs ...

... collaborate across geographies to deliver high-impact, data-driven solutions for complex business https://jobeax.com/link/QIMsWvsAw5eTxhnu Description:The Lead Data Scientist is a full-time, on-site role based in the Pune https://jobeax.com/link/tdCWlxjDV62W7iks role is responsible for designing and implementing data science ...

... Datacentre Clients. The ideal candidate will conduct monthly/quarterly customer reviews and actively drive revenue generation within the service department related to Datacentres. Key Roles & Responsibilities: - Act as key point of contact for Data center customers in the region, ensuring timely resolution of service issues and ...

Company Overview Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world’s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow’s challenges, anticipate the risks our clients encounter, and design advanced ...

... - Execute database schema conversion and optimize migrated database objects for Oracle Database and Oracle Autonomous Database (ADB). - Conduct comprehensive data validation and reconciliation between source and target systems to verify successful migration of all pharmacovigilance data. - Support migration of safety entities ...

... Demonstrated proficiency in Python for data manipulation, statistical analysis, and building machine learning pipelines.- Strong foundation in statistical modeling and data analysis, with the ability to interpret complex datasets and communicate findings to non-technical stakeholders.- Proven experience in data modeling and database ...

... a product-focused MVP that addresses a clear customer need rather than prioritizing model complexity for its own sake. - Design the data strategy, including data collection, labeling, evaluation, monitoring, and continuous improvement. - Architect and deliver a reliable prototype or MVP, incorporating APIs, data pipelines, ...

... openEHR, and HL7 v2 standards to design and implement healthcare data exchange workflows. - Design, review, and maintain openEHR templates, archetypes, and clinical data models based on clinical and business requirements. - Perform healthcare data mapping, transformation, and validation across different standards and source systems. ...

Senior Principal Architect, EDT Data Architecture Strategy & Standards The Senior Architect, Data & Analytics Architecture owns the enterprise data and analytics architecture strategy, standards, and design patterns for the global Azure/Databricks Lakehouse ecosystem. Actively shapes architectural and technical decisions ...

... architectures, vector databases, and NLP. - Hands-on experience with cloud AI platforms such as Azure AI, AWS SageMaker, or Google Vertex AI. - Knowledge of data engineering, Spark, Databricks, and data pipelines. - Experience with model deployment, MLOps, CI/CD, and model monitoring. - Proven experience leading data science ...

... including generative AI and LLM-based approaches - using enterprise business data, knowledge graphs, business process intelligence, and structured and unstructured data assets.- Learn SAP's deep data and process context - data models, metadata structures, and business process semantics across Order-to-Cash, Procure-to-Pay, Record-to-Report, ...

... about us on our YouTube Channel or Blog Posts. About the Role: We are looking for an exceptional Staff Engineer to shape the architecture and evolution of our data infrastructure as we scale. Our engineering ecosystem operates multiple database technologies, handles large volumes of data and traffic, and supports a growing ...

... Experience with Informatica repository metadata analysis.- Experience troubleshooting PowerCenter runtime and session logs.- Strong understanding of file-based and database-based ETL integration.- Experience migrating PowerCenter workloads to modern cloud/data platforms.- Good understanding of Snowflake and ELT-based architectures.- ...

... Purview- Data Mesh and Data Fabric- AI/ML-enabled Data Quality solutions- AWS, Azure, GCP- DataOps and MLOpsMust-Have Skills :- Product Management Leadership- Data Quality- Data Governance- Snowflake- Databricks- dbt- Data Catalogs- Metadata Management- Data Lineage- Data Warehousing- Lakehouse Architecture- Enterprise Analytics ...

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Kroll is seeking a Senior Associate for Sensitive Data Review Subject-Matter Expert to support the global delivery of sensitive data review matters from India. The role will provide hands-on subject-matter expertise during India business hours, coordinate cross-region handoffs, oversee workflow execution and quality, and ...

... Integration: SQL, ETL, Data Warehousing, Data Modeling, Cloud Databases, Cloud Architecture. Good to have : Snowflake, Databricks, SSIS, Informatica, Talend, DataStage, PySpark, Hive, Cloudera, AWS, Azure, PL/SQL, Python, Model N Data Management: Master Data Management (MDM), Data Quality, Data Stewardship, Data Governance. ...