2,630 big data analytics jobs in India.

... devices under guidance. Escalate unresolved issues to L2/L3 Network Engineers with proper documentation. Assist in patching, cabling, and hardware replacement in data centers or office environments. Ensure compliance with IT policies and maintain accurate documentation of network changes and incidents. Required Skills & Knowledge ...

... time for stakeholders. - Partner with analytics and product teams to ensure data sets are optimized and fit for strategic decision-making. - Map and document data definitions, lineage, and quality expectations to improve organizational data literacy. - Support technical compliance efforts related to player data privacy ...

... Experience interacting with Business Users to understand functional requirements and convert them to technical user stories- Must have experience and expertise in :1. Data modeling2. Data Integration- Should have experience of conducting User Acceptance Test, and preparing deliverables such as design documents, test documentation, ...

... Expertise in Azure Data Factory for ETL pipeline development 4. In-depth knowledge of Azure Data Lake Storage Gen2 (ADLS Gen2) 5. Experience with CosmosDB for data modeling and integration 6. Strong skills in Python for data engineering tasks 7. Proficiency in Databricks and Stream Analytics 8. Experience with Event Hub ...

... measurable product quality lift. This is a highly cross-functional role. You will work closely with QA, Engineering, Product, and the evals team to convert ambiguous quality issues into structured data, actionable feedback, and repeatable quality signals. You will: - Run ongoing human labeling for priority AI workflows, ...

Job Description : We are seeking a Senior Data Engineer to design, build, and maintain enterprise-grade Data Warehouses and Lakehouses on AWS. You will be responsible for architecting scalable batch and real-time streaming data pipelines, optimizing big data processing workloads, and ensuring high data reliability across ...

... Collaborate with solution architects, data scientists, SAP consultants, and business stakeholders to translate requirements into AI/ML solutions. - Design and build data pipelines, model training/deployment workflows, and monitoring processes (MLOps/LLMOps). - Develop AI/ML models (predictive analytics, anomaly detection, conversational ...

... management experience. - Must-Have Certifications: Active PMP AND CSM (Certified Scrum Master) certifications. - Tech Domain Expertise: Proven experience managing Data & AI projects, Cloud Solutions, DevOps implementations, and Datacenter/Application migrations. - Methodology: In-depth knowledge of advanced scheduling, risk ...

... - Assist Data Management Study Lead in maintenance of eCRF, Data Validation Specifications, and Study Specific Procedures. - Manage clinical and third-party data reconciliation based on edit specifications and data review plans. - Tracks and communicates status of study and task metrics to clinical data scientist, project ...

... and guidance to engineers.2. Hands-on Data Engineering : - Contribute directly to development of data pipelines and data workflows (~3050% hands-on).- Perform data analysis and SQL-based problem solving.- Design and optimize ETL/ELT pipelines.- Work with structured and enterprise data sources including SAP systems.- Support ...

... experience with data visualization tools like Tableau or Power BI https://jobeax.com/link/D7jAhstFP8xZgdHX least 3 years of experience in Cloud platforms (e.g., ADF, Data bricks, Azure) and their AI services. At least 6-8 years of experience in data science & 1 year with a focus on supply chain analytics, supply chain processes, ...

... parameterizations and translate them into equivalent Python EL scripts and dbt transformation models. • Develop and maintain Python EL pipelines to land high-volume data, including billion-row tables, into the target warehouse using SQLAlchemy, cx_Oracle, pyodbc, and bulk export tools such as Oracle Data Pump and SQL Server BCP. ...

... scalability Perform end to end data science workflows data collection cleaning feature engineering model training validation and monitoring Primary skills Technology Data Science Machine Learning Technology Machine learning data science Experience building and optimizing NLP systems using modern approaches e AI-Data science- Data ...

... scraping workflows for real-world use cases. Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...

... provide recommendations for improvement. - Review balance sheet accounts for significant quarterly movement Digitalization & Continuous Improvement - Utilize data analytics/ Power BI/ Microsoft Copilot, and AI-enabled tools to enhance control monitoring and testing efficiency. - Support automation, dashboard development, ...

... understanding of GCP data services: Expertise in using GCP services such as Cloud Dataflow, Cloud Dataproc, BigQuery, Cloud Storage, Data Catalog, and Data Fusion. ● Data modeling and architecture: Proven experience designing and implementing data models, including dimensional modeling and data warehousing principles. ● Data warehousing ...

... downstream https://jobeax.com/link/lnUo88dTl90Z8FLW with Data Science & Engineering Teams :- Collaborate closely with Data Scientists and Data Analysts to understand data, analytical models, and consumption requirements.- Enable and support advanced analytics and data science workflows by preparing high-quality feature datasets.- ...

... transformation.- Define technology roadmaps, reference architectures, architecture principles, and standards for Data & AI platforms.- Drive modernization of existing data and analytics ecosystems to support AI-driven business capabilities.- Collaborate with engineering, data science, cloud, cybersecurity, and product teams to translate ...

... Responsibilities include: Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data. Develop data pipelines to extract and transform data in near real-time using cloud-native technologies. Implement data validation and quality checks to ensure ...

Data Science Lead