4,109 freelance data analyst jobs in India.

... :- Design, develop, and execute automated test scripts for regression and repeatable validation.- Perform data migration testing, including source-to-target data validation, reconciliation, and parallel-run testing.- Conduct REST API testing to validate functionality, integrations, and data consistency.- Validate migrated ...

... Data Scientist at Simpli Intern, you'll help turn data into clear, useful findings. You'll work with Python, SQL, and machine learning techniques to explore datasets, build and evaluate models, and communicate results to colleagues. 1. Query and prepare data with SQL and Python, checking for missing values, inconsistencies, ...

... hands-on Salesforce data migration projects.- Strong knowledge of Salesforce data model and standard objects in Sales & Service Clouds.- Experience validating data migration using ETL tools such as Informatica, MuleSoft, Talend, Data Loader, or custom scripts.- Strong understanding of data quality principles and reconciliation ...

... play a key role in designing and implementing scalable data solutions using Fabric and Azure data https://jobeax.com/link/v8qrFLRTZgSSorDg Responsibilities :Data Engineering & Development :- Design and build data solutions using: Lakehouse, Warehouse, and OneLake in Fabric, Fabric Data Pipelines and Dataflows Gen2.- Develop ...

... engineering of enterprise data protection and privacy platforms, including DLP, data discovery, classification, and privacy tooling. - Implement and administer Data Loss Prevention (DLP) solutions across endpoint, email, network, cloud, and SaaS environments. - Design and operationalize data discovery and data classification ...

... input of large datasets into our systems. 2. Ensuring accuracy and efficiency in data entry tasks. 3. Collaborating with team members to troubleshoot and resolve data-related issues. 4. Conducting quality control checks on data to maintain integrity and reliability. 5. Developing and maintaining spreadsheets and databases for ...

... systems and their data. - Data & AI architecture expertise - A proven track record of AI solutions delivered in real business settings - Strong grounding in data architecture: data products, semantic models, metadata and governance. - Hands-on knowledge of modern AI patterns such as GenAI, RAG, agents, and evaluation and ...

... the pipelines and tooling, and you evaluate that the results are correct. You partner with the Ontology Engineer, who owns the target schema; you make source data fit that schema and flag back when it does not You’ll make an impact by: - Understand heterogeneous source data before implementation — identify semantics, dependencies, ...

... Intelligence (GO-AI) enables Amazon to accelerate and scale our machine learning transformation via human-in-the-loop support. About the Role As an Associate II, ML Data Operations, you will be a vital Human-in-the-Loop expert in a non-technical role, responsible for executing data annotation tasks across highly diverse portfolios. ...

... Strong capability in designing and executing data strategy frameworks aligned to business and technology objectives. Hands-on expertise in assessing and improving data quality across source systems, datasets, and enterprise platforms. Solid understanding of data governance principles, including policies, controls, ownership, ...

... and technology stakeholders. Technical Expertise - Data Architecture and Data Modelling. - Healthcare Interoperability, including HL7 and FHIR. - SQL and NoSQL databases. - ETL/ELT and Data Integration Platforms. - Cloud Platforms, including Azure, AWS, and GCP. - Data Governance and Master Data Management. - Healthcare Analytics ...

... input of large datasets into our systems. 2. Ensuring accuracy and efficiency in data entry tasks. 3. Collaborating with team members to troubleshoot and resolve data-related issues. 4. Conducting quality control checks on data to maintain integrity and reliability. 5. Developing and maintaining spreadsheets and databases for ...

... expected to work independently as well as part of a team to execute the full cycle of quantitative analysis. This includes sourcing raw data, quality checking the data, transforming data as necessary and using data to draw sound conclusions and help drive risk policies. This role requires familiarity with datasets larger than ...

... answer the client question. - Build Data Pipelines, Dashboards and Reusable Assets - Develop and maintain modular SQL/Python pipelines that convert raw source data into analysis-ready datasets and repeatable outputs. - Support ingestion, mapping, data-quality controls, metadata, documentation, and orchestration using cloud ...

... reusable data models, and robust ETL/ELT pipelines across claims, EHR/EMR, laboratory, SP/HUB, CRM, sales, access, and digital sources. - Set expectations for data quality, lineage, metadata, reproducibility, security, and documentation, and oversee resolution of complex data issues. - Partner with data engineers, architects, ...

... voice they are an active partner to the product owners, analysts, and insight leaders whose work depends on the reliability, quality, and sophistication of the data infrastructure this person builds and https://jobeax.com/link/kxmDmuRYSts2DCZU lead and develop the data engineering team, set the data engineering direction ...

... onboarding of customer's solutions to the cloud. A Data Mesh platform built on top of it to exchange, integrate, and process data from multiple internal systems. The Data Mesh platform applies domain-oriented data ownership, treats data as a product, and uses federated governance, enabling controlled data usage to support future ...

... programme. Responsibilities Backend Development & Data Integration - Design and build robust backend APIs (REST/JSON) that securely consume, validate, and transform data from government systems (JJM–IMIS, AP Mana Mitra, RWSS) and public Google Sheets CSV exports. - Develop data pipelines and ETL processes to standardize government ...

... engineering practices. Skills and attributes for success 13+ years of experience in Data Engineering / Data Architecture, with strong hands-on experience across Databricks, Hadoop, Spark/PySpark, and cloud data platforms. - Databricks - Strong expertise in Databricks Lakehouse, Delta Lake, Databricks SQL, and Unity Catalog. ...

... physical data models based on business requirements. - Build and maintain ER diagrams, data dictionaries, metadata, and model documentation . - Analyze existing databases and data structures to identify relationships, dependencies, and improvement opportunities. - Work closely with Data Architects, Business Analysts, Data ...