3,904 data analyst technology jobs in India.

... Perform exploratory data analysis (EDA) to uncover insights and trends. Communicate findings through dashboards, reports, and visualizations. Collaborate with data engineers and business analysts to translate business problems into analytical models. Evaluate model performance and fine-tune parameters for optimal results. ...

As a Principal Data Engineer, you will be at the forefront of Oracle's data initiatives, playing a pivotal role in transforming raw data into actionable insights. Collaborating with data scientists and business stakeholders, you will design scalable data pipelines, optimize data infrastructure, and ensure the availability ...

... data narratives, written documents, and presentations that influence product and business strategy. - Contribute to the broader science community by mentoring analysts, improving data workflows and tooling, and sharing technical work in internal and external forums. Deep dive into smart home interaction metrics - analyzing ...

... a Senior Data Engineer to operate & design, manage & maintain, and optimize our data platform. In this role, you will bridge the gap between traditional big data engineering and modern Generative AI infrastructure. You will be responsible for building robust data pipelines on Databricks, engineering high-quality datasets ...

Key Responsibilities : Data Engineering & BI Modernization : - Design and build ETL/ELT pipelines to migrate legacy BI systems (SSRS, Cognos, legacy SSAS/OLAP cubes) to modern cloud data platforms (Snowflake, Databricks, Azure Synapse, BigQuery, or similar).- Re-architect and optimize data models (star/snowflake schemas, ...

Key Responsibilities : Data Engineering & BI Modernization : - Design and build ETL/ELT pipelines to migrate legacy BI systems (SSRS, Cognos, legacy SSAS/OLAP cubes) to modern cloud data platforms (Snowflake, Databricks, Azure Synapse, BigQuery, or similar).- Re-architect and optimize data models (star/snowflake schemas, ...

... approaches including customisation of recently published research as needed to build better Causal AI solutions. Provide technical direction and mentoring to junior data scientists and data engineers in the team, helping shape the skills and values of the next generation of Cisco data scientists. 6+ years of Advanced Analytics ...

... data architecture discussions and support the evolution of L'Oréal's global data strategy. Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field. - 4-6 years of hands-on experience as a Data Engineer. - Strong experience working on Google Cloud Platform (GCP) is mandatory. ...

... https://jobeax.com/link/By53NvnMxWuAhayP & Education :- 6+ years of relevant experience in analytics engineering, data engineering, business intelligence, data warehousing, enterprise data modelling, or a closely related field.- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Data Science, Analytics, Mathematics, ...

... scalable ETL pipelines for large-scale data processing.- Build and optimize distributed data applications using Spark and Scala.- Develop reliable, high-performance data pipelines for batch and streaming workloads.- Work with large datasets to ensure data quality, consistency, and performance.- Collaborate with engineering, product, ...

... BigQuery and advanced SQL.- Experience with Dataform or dbt.- Hands-on experience with Cloud Composer/Apache Airflow.- Experience with Dataflow/Apache Beam and/or Dataproc/Spark.- Strong understanding of data modelling, schema evolution, data quality, and data pipelines.- Experience with batch and streaming data processing.- ...

... call support days: 12:30pm-9:30pm Requirements - Minimum 3 yrs exp. in Data and production support hands on skill, handling incidents - Python - Must have - Databricks - Must have - Unity Catalog - Must have - ADLS - Must have - Spark - Must have - Job Orchestration (Airflow) - Must have - Data pipeline Architecture and ...

... foundation models, embeddings, prompt engineering, tool calling, function calling, and structured outputs.- Design and implement RAG architectures, including data ingestion, document processing, chunking, embedding generation, retrieval, ranking, grounding, citations, and evaluation.- Work with vector databases and search ...

... foundation models, embeddings, prompt engineering, tool calling, function calling, and structured outputs.- Design and implement RAG architectures, including data ingestion, document processing, chunking, embedding generation, retrieval, ranking, grounding, citations, and evaluation.- Work with vector databases and search ...

... with colleagues to understand data requirements and goals. - Stay updated with the latest data science trends and tools. - Document processes followed during data collection and analysis. - Support data integrity and validation initiatives. Skills: - Data Collection: Ability to gather data from multiple sources effectively. ...

Role : Data Solutions Architect - Microsoft FabricRole Purpose : Design and implement enterprise-scale data solutions on Microsoft Fabric, while leading modernization from legacy platforms such as Qlik, Gather, and other BI/data https://jobeax.com/link/LNO4qyefA3UlJa2l Responsibilities : - Architect end-to-end data pipelines ...

... standards related to information security, technology, data governance and privacy.- Technology Approvals : Accountability for the review and approval of technology in relation to information security risks, including involvement and review of technology projects, approval of significant changes to technology environments, ...

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

... and manage S3-based data lake architecture for raw data storage, ingestion, and processing. Support SQS-based asynchronous workflows for report generation and data-processing queues. Monitor data pipeline health and proactively troubleshoot issues affecting data accuracy, reliability, or freshness. Implement data quality ...

... Experience in data migration projects Exposure to on-prem + cloud environments Strong SQL proficiency (should handle basic queries comfortably) Clear understanding of data engineering concepts Experience with: Practical coding ability About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of ...