3,789 data analytics consultant jobs in India.

... https://jobeax.com/link/agt1Hg1pGt70EZ7P Responsibilities :- Design and implement scalable data architectures, database solutions, and data models to support business and analytics requirements.- Build and maintain ETL/ELT pipelines using Python and Azure Data Factory (ADF), ensuring reliable and efficient data integration.- Develop and ...

... changes, providing data-backed recommendations to product development teams.- Build and maintain scalable data pipelines, analytical tools, and dashboards, ensuring data quality and accessibility for various business units and strategic decision-making.- Communicate complex analytical findings, model results, and data-driven recommendations ...

... - Build and deploysupervised/unsupervised ML modelsand NLP solutions - Performdata analysis, feature engineering, and model validation - Understand basics ofdata pipelines, datamodeling, and cloud platforms (Azure/Snowflake) - Support integration of AI models into scalable data/AI platforms - Supportmonitoring, performance ...

... Experience : +6yrs About the Role We are looking for an experienced GCP Data Engineer to design, develop, and optimize scalable data pipelines and cloud-based data solutions on Google Cloud Platform. The ideal candidate should have strong hands-on experience in GCP Data Engineering, BigQuery, Dataflow, Dataproc, Python/PySpark, ...

... Glue, Lambda, Step Functions, and Apache Spark . Develop and optimize data lake and data warehouse architectures using AWS S3, Redshift, and Athena . Implement data ingestion, transformation, and storage solutions using AWS Glue, Kinesis, and Kafka . Work with structured and unstructured data to develop efficient data pipelines ...

Data Scientist – Snowflake + Agentic AI / Cortex AI

... changes, providing data-backed recommendations to product development teams.- Build and maintain scalable data pipelines, analytical tools, and dashboards, ensuring data quality and accessibility for various business units and strategic decision-making.- Communicate complex analytical findings, model results, and data-driven recommendations ...

... Work as an Individual Contributor on new and existing projects with a positive, problem-solving https://jobeax.com/link/rCyzW0NBvdP0uFXm Candidate :- Strong Data Scientist / AI Engineer / Generative AI Engineer profile.- 3+ years of hands-on experience in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, ...

... integrations into and out of the platform, including member institution core banking systems and regulatory and national fraud reporting systems.- Be accountable for data availability, timeliness, and fitness for purpose across all analytics, machine learning, and management reporting use cases.- Establish data governance and controls, ...

... Glue, Lambda, Step Functions, and Apache Spark . Develop and optimize data lake and data warehouse architectures using AWS S3, Redshift, and Athena . Implement data ingestion, transformation, and storage solutions using AWS Glue, Kinesis, and Kafka . Work with structured and unstructured data to develop efficient data pipelines ...

... Cloud services, and report development skills. - Hands-on experience with Azure cloud services including Azure Data Factory, Azure SQL, Azure Blob Storage, Azure Dataflow, Logic Apps, Azure Synapse Analytics, Function Apps, and Key Vaults for building and orchestrating data pipelines, serverless integrations, and secure secrets ...

... comfort corresponding with taxing authorities, following up on notices, and documenting outcomes clearly Nice to have skills - Bachelor’s degree in Accounting, Data Analytics, Information Systems, or a related field. - Experience with U.S. sales and use tax, indirect tax, VAT/GST, Avalara or similar tax technology platforms, ...

... a clear and actionable format to stakeholders. Stay updated with industry trends, analytics tools, and best practices. Qualifications - Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, or a related field. - 2–5 years of experience as a Data Analyst or in a similar analytical ...

... 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 and analytics capabilities Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate ...

... role , not a data science or model-building role. You will spend your time engineering the data foundation that makes AI reliable — semantic layers, governed data products, and embedded natural-language analytics — not training models. Design and build AI-ready data products on Snowflake and/or Databricks — trusted datasets ...

... product, and engineering stakeholders in matrixed environments. Biopharma / healthcare domain exposure — commercial analytics, clinical development, real-world data, patient journeys, evidence generation, or regulated workflows. Fine-tuning / adaptation experience (PEFT, LoRA, QLoRA). Expertise in big data technologies (e.g., ...

... 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