2,003 data analytic internship jobs in India.

... large-scale data processing and analytics workloads.- Integrate Fabric workloads with Azure services including Azure Data Lake Storage (ADLS Gen2), Azure Synapse Analytics, Azure Databricks, and Power BI.- Implement medallion architecture and data modelling best practices, following standard SDLC practices to ensure data quality, ...

... ETL Tool ONLY amongst Talend Datastage Informatica ISS Cloud version Data Fusion Data Flow Data Proc Mandatory SQL PLSQL Scripting Experience Expert in Python Data Flow Pubsub Big Query CICD Must have good Experienceknowledge on GCP components like GCS BigQuery AirFlow Cloud SQL PubSubKafka DataFlow and Google Cloud SDK ...

... in regulated industries (Pharma, Life Sciences, Banking). Design, build, and maintain scalable data pipelines supporting AI and GenAI use cases Work on modern data platforms (data lakes, lakehouse, streaming, Event hub like Kafka, containers, K8s) Enable high-quality, compliant data for analytics, ML, and GenAI workloads ...

... client-facing environments. • Expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption. • Strong problem-solving, analytical, and communication skills. • Experience leading or mentoring teams of engineers in delivering high-quality data solutions. Technical Expertise • Deep expertise ...

... across various systems. Ensuring the accuracy and quality of data is a key part of your role, along with implementing processes to extract, transform, and load data effectively. Your work enables seamless data migration and deployment, supporting the broader data infrastructure and analytics needs of the organization. Roles ...

... 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, ...

... complex and large-scale datasets. Strong experience in data analysis, data profiling, reconciliation, and Data Quality (DQ) validation. Ability to explore large datasets and translate analysis into clear findings, recommendations, and actionable insights. Experience working with large volumes of data and understanding of performance ...

Data Scientist – Snowflake + Agentic AI / Cortex AI

Role: Data Analytics – Lending Location: Gurugram Experience: 1–4 years, industry competitive compensation What you'll lead / own: Credit funnel analysis across application approval disbursal journeys Building scorecards, frameworks (CIBIL, thick/thin files, bureau/behavioural, ATS cohorts etc.) Forecasting GMV, approval, ...

... 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, ...

... DynamoDB). Familiarity with DevOps practices and CI/CD tools (Jenkins, GitHub Actions). Experience with Kafka or Kinesis for real-time data streaming. Knowledge of Terraform, CloudFormation, or CDK for infrastructure automation. Hands-on experience with data security and governance . Strong analytical and problem-solving skills

Data Scientist – Snowflake + Agentic AI / Cortex AI

Purpose :This function supports the protection of patient privacy when clinical trial data is shared https://jobeax.com/link/l1hgfOb58lWIGmQb use cases :- Regulatory submissions.- Data sharing with researchers.- Health authority requests.- External collaborations.- Clinical trial transparency https://jobeax.com/link/2TEP4zJ4nBtcNfEZ ...

... 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, ...

... DynamoDB). Familiarity with DevOps practices and CI/CD tools (Jenkins, GitHub Actions). Experience with Kafka or Kinesis for real-time data streaming. Knowledge of Terraform, CloudFormation, or CDK for infrastructure automation. Hands-on experience with data security and governance . Strong analytical and problem-solving skills