3,551 data analyst excel jobs in India.

... 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 ...

... monitoring. Drive project-management rigor — dependency management, risk escalation, and stakeholder reporting. Collaborate with data engineers and IT teams to ensure data availability, quality, and reliability for analysis and modelling. Expertise in programming languages such as Python or R for data manipulation, analysis, and ...

... 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

... networks to enable machines to learn from data and make decisions. Employees who excel in this skill have specialized abilities in mathematics, programming, and data analysis, making them highly coveted in the tech industry. Data Engineering - Ability to design, build, and maintain infrastructure for data collection, transformation, ...

... 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 ...

... tuning, cluster performance improvements, cost reduction Strong problem-solving and analytical skills Ability to work in a fast-paced, cloud-based data environment Excellent collaboration and communication skills Strong attention to detail and commitment to best practices Experience: Minimum 6 experience in Data engineering (Core ...

... stored procedures. Ensure data integrity, quality, and availability across systems. Integrate data between systems using Python (e.g., REST APIs, flat files, database connectors). Support deployment, monitoring, and maintenance of applications in production. Collaborate with data engineers, analysts, and application developers ...