3,388 data analyst tableau jobs in India.

... seamless data integration, high data quality, and secure access while collaborating with stakeholders to translate business needs into efficient, cloud-optimized data solutions. Key Responsibilities: - Design, build, and maintain scalable data pipelines and ETL processes including database scripts, stored procedures, triggers, ...

... journey of model building Advocating application of best practices in data engineering, code hygiene, and code reviews Leading the development of proprietary data engineering, assets, ML algorithms, and analytical tools on varied projects Working with partners and principals to shape proposals that showcase our data engineering ...

... Cortex or Databricks Genie — you have built, configured, and tuned these in production or advanced pilots, with specific reference to the flavors used (Cortex Analyst / Search / Agents / LLM Functions, or Genie spaces with semantic models) - Semantic layer / trusted data product delivery — you have built governed datasets ...

... requirements. Identify and correct data inconsistencies and anomalies. Use data labelling tools such as Labelbox, Supervisely, Scale AI, or similar platforms. Data Quality Assurance: Conduct quality checks on labelled data to ensure adherence to project standards. Work closely with data scientists, engineers, and product ...

... MLOps). Working depth in LLM applications — RAG, prompt/context strategies, grounding, vector retrieval, evaluation, and hallucination mitigation. Expertise in data visualization tools such as Tableau, Power BI, or matplotlib/seaborn for effective communication of findings. Solid understanding of production-grade delivery ...

... 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.- ...

... and modern data platforms.- Experience designing end-to-end AI solutions and architectures across cloud and enterprise environments.- Strong understanding of data architecture concepts including data lakes, lakehouses, data warehouses, data pipelines, data governance, and data platforms.- Experience with major cloud platforms ...

... consistency. Monitor system performance, troubleshoot issues, and implement optimizations to enhance reliability and efficiency . Collaborate with business users, analysts, and other stakeholders to understand data requirements and deliver tailored solutions. Document technical designs, workflows, and best practices to facilitate ...

Data Science Lead

... or enterprise intelligence. - Knowledge of SAP’s domains, data models, metadata structures and core business processes end-to-end. - Experience with the SAP data and AI platform stack SAP Datasphere, SAP HANA Cloud Knowledge Graph Engine, SAP Business Data Cloud, SAP One Domain Model, SAP Graph API, and SAP Business Accelerator ...

... and modern data platforms.- Experience designing end-to-end AI solutions and architectures across cloud and enterprise environments.- Strong understanding of data architecture concepts including data lakes, lakehouses, data warehouses, data pipelines, data governance, and data platforms.- Experience with major cloud platforms ...

... architectures, roadmaps, and implementation plans. Develop logical data models and schemas for various business domains and industries. Demonstrate expertise in data modeling, database design, cloud architecture, and data infrastructure management. 5+ years of experience in data engineering, cloud architecture, or data infrastructure. ...

... 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. ...

... with Research and Modeling teams, with a primary mandate on engineering, data quality, scalability, and production readiness. We are seeking a self-motivated Data Engineer to build and enhance our Scalable Data Platform, delivering curated historical datasets at security, index constituent, and portfolio levels to support ...

... and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work related problems. Collaborate with data scientists and analysts to understand data needs and deliver appropriate solutions. Design and implement data models that support business intelligence and analytics ...

... PySpark for large-scale data processing - Working experience with Databricks (Delta Lake, Unity Catalog, notebooks) - Exposure to AI/ML data pipelines — vector databases, embeddings, or RAG architecture is a plus - Experience with cloud data platforms (Azure Data Factory, AWS Glue, or equivalent) - Understanding of data modeling, ...

... Collaboration Translate business requirements into technical data engineering solutions Collaborate with product managers, analysts, and other stakeholders on data needs Participate actively in scrum/agile development processes Provide technical expertise to support strategic decision-making Data Architecture & Design Apply ...

... with SQL, Data Modeling, ETL/Data Warehousing concepts. - Knowledge of API-based and batch integrations. - Experience integrating Varicent with CRM, ERP, and Data Platforms. - Strong analytical, problem-solving, and stakeholder management skills. About NTT DATA NTT DATA is a $30 billion business and technology services ...

Designs and develops data models and data pipelines to enable efficient data collection and processing from diverse data sources. Implements data governance policies and procedures for data handling to manage data consistency, integrity, accuracy, security, and reliability. Implements rigorous data validation and integrity ...

... Server 2016) to the Azure Cloud. This role will focus on the data quality and errors for the new data pipes established from the source to the new target cloud database. You will work closely with the team that is designing and building the data pipes as well as the lead business analyst who is working with internal stakeholders ...