4,271 operations data analyst jobs in India.

... Vertex AI for training, tuning, and scaling models. Data & Experimentation - - Work with large-scale, real-time datasets to derive actionable insights and build data pipelines for ML training and evaluation. - Design and run experiments (A/B testing, uplift modeling, etc.) Work with large-scale datasets, ensuring data quality ...

... Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial planning and investment, through start-up and operations. Core to Bechtel is our Vision, Values and Commitments . They are what we believe, what customers can expect, and how we deliver. Learn more about our extraordinary ...

... 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, ...

... 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 experience with a Masters Degree or 4+ years with a PhD in a Mathematics or Applied Mathematics, Operations Research, ...

... unstructured data. Build and manage modern cloud-based data platforms, data lakes, and data warehouses. Ensure data quality, integrity, governance, and security across data ecosystems. Collaborate with cross-functional teams to understand business requirements and translate them into technical data solutions. Optimize data workflows ...

... Dimensions (SCD), Entity and Grain Definition, KPI and Metric Design, Semantic Layer Development, Data Transformation and Aggregation, Structured and Semi-Structured Data, JSON / Nested Data, NoSQL concepts, Snowflake and/or Databricks, Practical Python, Data Quality, Reconciliation, and Validation, Analytical Data Warehousing ...

... 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 ...

... approval of significant changes to technology environments, approval of cloud environments, and approval of Global Technology Standard exceptions.- Security Operations : Accountability for security operations, working with technology teams to ensure that technical & information security compliance standards are met on an ...

... 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