4,257 data migration consultant jobs in India.

... 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 ...

... 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, ...

... teams to build scalable systems. - Drive architectural evolution: Identify fundamental limitations in existing systems and lead large-scale initiatives involving data distribution, sharding, replication, migrations, and architectural modernization. - Shape technical strategy: Influence database technology choices, architectural ...

... 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 ...

Big Data Hybrid work Work at office

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. ...

... Observability The opportunity We are seeking a skilled Full Stack Engineer with strong hands-on experience across backend engineering, REST API development, SQL, data modelling, ETL/ELT methodology, data warehouse concepts, DevOps practices and modern CI/CD ways of working. The role requires the ability to build scalable applications, ...

... - MD or PhD with 6+ years epidemiology/research experience, or Master's degree with 8+ years - 4+ years statistical programming experience with R and/or SQL database programming - 2+ years programming against large healthcare datasets such as claims or EHR data - 2+ years healthcare industry experience in pharmaceutical, ...

... follow project guidelines How it works Record solo calls on our secure platform. No second person is needed; pause where the agent would respond. Submit basic metadata after each call. Pay: $0. 60 per QA-approved session You need at least 4 approved sessions to be paid ($2. 40), and you can do up to 10 ($6. 00). Sessions that ...

Curious about the role :We are seeking a deeply technical, hands-on, and strategic Data Science Leader to spearhead complex predictive modeling, advanced analytics, and Generative AI initiatives. The ideal candidate must have a strong foundational background as an expert Data Science practitioner who has evolved into a ...

... building LLM/GenAI applications - prompt engineering, RAG, fine-tuning, embeddings, vector databases, and evaluation.- Solid grounding in the full ML lifecycle : data validation, feature engineering, model design, experimentation, deployment, and monitoring.- Experience with structured and unstructured data, including text, ...