2,003 data analytic internship jobs in India.

... well-documented semantic layers and structured transformations (using SQL and modern modeling frameworks) to expose reliable datasets. Support both traditional analytical queries (BI dashboards in Grafana, Looker, or Kibana) and downstream machine learning and automated agentic pipelines. Data Quality, Reliability & Observability ...

... affordable healthcare. Build and manage digital analytics datasets and reporting solutions Develop data pipelines and analytical reporting frameworks Support data validation, UAT, process improvements, and analytics initiatives. Experience & Qualification: Python Power BI & Dashboard Development Data Modeling & Data Validation ...

... strategy and operational decision-making. Requirements - Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related field - 0-2 years of experience in data analysis or a relevant internship/project - Strong analytical and problem-solving skills - Proficiency ...

... production data pipelines, troubleshoot issues, and perform root cause analysis.- Collaborate with cross-functional teams to deliver scalable data solutions and analytics https://jobeax.com/link/pSLYUrhXMADnXVaf :- 5+ years of experience in Data Engineering.- Strong hands-on experience with Azure Databricks, Azure Data Factory ...

As a Lead Data Scientist, you will lead the design, development, validation, and operationalization of machine learning and advanced analytics solutions that power intelligent products and business capabilities. This role combines strong hands-on expertise in model development with practical experience in MLOps, deployment, ...

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Are you ready to make an impact and help shape what's next Join us! We are looking ...

ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. Instead, you'll be out in the open water, shaping the future with brilliant minds. We are looking for a Lead Data Scientist who can own data science engagements ...

... lifecycle. Design and build scalable backend services, REST APIs, integrations, and reusable software components using Python and, where relevant TypeScript. Develop data ingestion, transformation, service-to-service communication, and automation capabilities that support reliable product experiences. Contribute to AI-enabled features ...

... Design, develop, and maintain scalable backend services and RESTful APIs using Python and FastAPI. Build and integrate APIs that expose statistical models, analytical services, and machine learning solutions to front end and external systems. Collaborate with data scientists and business stakeholders to operationalize computational ...

... works (DAGs, tasks, scheduling). Apache Flink: Basic conceptual knowledge of distributed data processing or stream processing using Flink. Soft Skills: Strong analytical thinking, problem-solving skills, and a genuine eagerness to learn and adapt to new technologies. Good-to-Have (Bonus Points): Spatial Data: Knowledge of ...

... using Airflow, MWAA, AWS Step Functions , or similar orchestration tools. Collaborate with Data Analysts and Data Scientists to deliver clean, structured, and analytics-ready datasets. Optimise data pipelines for performance, scalability, reliability, and AWS cost efficiency . Integrate data from multiple internal and external ...

... data ingestion pipelines leveraging Databricks, Airflow, Kafka, and Terraform. Ensure high performance, reliability, and efficiency by optimizing large-scale data pipelines. Develop data processing workflows using Databricks, Delta Lake, and Spark technologies. Maintain and improve the Data Lakehouse, utilizing Unity Catalog ...

... communication and stakeholder management skills Why Join? - Work with global teams on large-scale data transformation initiatives - Build modern cloud-native data solutions using Azure & Databricks - Opportunity to contribute to enterprise-wide analytics and data engineering programs Interested candidates can share their ...

... pass an acceptance gate before it is declared complete — you own the evidence behind that. Enabling everyone else The integration and document engineers land data into your platform. Analytics and validation work builds on top of it. Making both easy is part of the job. The Expected Stack The architecture is being finalised ...

... management plans and documentation, ensuring compliance with industry standards and regulatory requirements. - Participate in the identification and resolution of data discrepancies and issues, working to streamline data flow and enhance data quality throughout the study lifecycle. - Collaborate closely with cross-functional ...

... and development Data quality validation and monitoring Schema design for analytics and reporting Performance optimization and scalability Preferred Experience Databricks Delta Lake experience Azure Synapse Analytics Python for data engineering Spark SQL optimization Real-time data streaming Data governance and metadata management ...

... opportunity for a Data Scientist to join a new and rapidly growing intraday team. In this role you will partner with our close-knit team of quantitative researchers, data engineers, technologists and data sourcing colleagues to research, engineer, and validate quantitative signals derived from high-frequency equity market data ...

Role Overview : We are seeking a seasoned Data Engineering professional to spearhead our data architecture initiatives and drive the evolution of our analytical ecosystem. In this role, you will be responsible for designing robust data models and optimizing our Snowflake-based data warehousing environment to support complex ...

... build robust data pipelines, data lakes, and marts to support business analysts and data scientists. Key Responsibilities Modern Data Platform Development: Build data lake components on cloud-based platforms Design and develop data marts for business analysts and data scientists Data Engineering & Pipelines: Design data pipelines ...

Job Description – Senior Data Engineer / Platform Re-Engineering Lead (Azure Synapse & Databricks Migration) Role Overview We are looking for a highly experienced Senior Data Engineer to lead the re-engineering of an existing enterprise data platform built on Azure Synapse Analytics. The role requires deep technical seniority ...