2,003 data analytic internship jobs in India.

... or GCP data services (Databricks, Azure Functions, Delta Lake, etc.) Data APIs & Semantic Layer: Familiarity with semantic layer tools (CubeJS or similar) for data access and analytics CI/CD: Understanding of continuous integration/deployment for data pipelines Design Patterns: Knowledge of software design patterns and their ...

... with SQL, Data Modeling, ETL/Data Warehousing concepts. - Knowledge of API-based and batch integrations. - Experience integrating Varicent with CRM, ERP, and Data Platforms. - Strong analytical, problem-solving, and stakeholder management skills. About NTT DATA NTT DATA is a $30 billion business and technology services ...

Designs and develops data models and data pipelines to enable efficient data collection and processing from diverse data sources. Implements data governance policies and procedures for data handling to manage data consistency, integrity, accuracy, security, and reliability. Implements rigorous data validation and integrity ...

... of experience creating automated solutions for measuring data quality for ETL processes Minimum 1+ year of recent experience working with the following Azure Data Services: Azure Data Catalog, Azure Blob Storage, Azure Data Lake Storage, Azure Synapse Analytics, Azure Analysis Services, Azure Data Factory Strong background ...

Role Summary: We are seeking a highly skilled Data Engineer specializing in AWS and Databricks. The ideal candidate will design, build, and maintain scalable data pipelines, ensuring efficient data ingestion, processing, and integration from multiple sources—including Google Analytics event data. This role requires deep ...

... cross-functional teams to gather requirements, validate solutions, and identify opportunities for process improvement and business transformation. 8. Support data-driven projects and transformation initiatives by providing analytical expertise and business insights. 9. Design, develop, test, and deploy analytical tools ...

... Oracle Database and SQL performance tuning. - Experience working with large datasets and data manipulation. - Experience with job schedulers and ETL tools (e.g., Familiarity with REST APIs and JSON/XML data formats. Exposure to cloud platforms (AWS) is a plus. Knowledge of data modeling and database design best practices.

... experience with modern data stack tools (dbt, Looker, etc.) • Machine learning infrastructure and MLOps architecture expertise • Contributions to open-source data infrastructure projects • Published technical articles, conference talks, or thought leadership in data platforms • Expert knowledge of data privacy frameworks ...

... requirements, understand data needs, and translate them into technical solutions. Design and implement data CI/CD pipelines to enable automated and efficient data integration, transformation, and deployment processes. Monitor and troubleshoot data pipelines, proactively identifying and resolving issues related to data ingestion, ...

... developing and maintaining data pipelines writes clean, efficient, and testable code. Data Engineering: Experience with data pipelines, ingestion processes, SQL, and data modeling. AWS: Hands-on with AWS services such as IAM, S3, Glue, Lambda, RDS, Firehose, EventBridge, and CloudWatch understands distributed data systems. CI/CD: ...

... events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. ...

... applicable data protection regulations, including India’s Digital Personal Data Protection Act (DPDPA). The ideal candidate will have a strong understanding of data privacy laws, regulations and best practices, coupled with excellent communication, critical thinking, and analytical skills. On a day-to-day basis, you will ...

... of the data engineering team and working on in-house products in for Data Foundation Collaborating closely with Data Engineering Leads and managers and other DataOps teams. This role involves hands-on development work and will directly report to Data Engineering Lead. Must have skills: Azure Databricks, Unity Catalog, Delta ...

... design solutions leveraging GCP services. Data Pipeline Design & Development: Build and manage scalable data pipelines using tools such as Apache Beam, Cloud Dataflow, and Cloud Composer. Data Warehousing & Lake Solutions: Architect, implement, and optimize BigQuery based data lakes and warehouses. Real Time Data Processing: ...

... designing and implementing a data integration and analytical environment using various tools and using Python, Scala, or Java to automate the ETL, analytics, and data quality platform from the ground up. You will design and implement complex data models, model metadata, build reports and dashboards, and own data presentation ...

... management practices, including planning increments, coordinating epics and features, facilitating ceremonies, and tracking delivery across teams Partner with data, architecture, integration, analytics, and platform teams to ensure program execution is aligned with target state architecture and enterprise standards Support ...

... transform, and load data from multiple sources into Amazon's data warehouse and data lake environments. Build and optimize data models that support reporting, analytics, and machine learning use cases across WWGS domains. Write efficient and well-structured SQL queries and scripts to process large-scale datasets. Monitor, ...

... optimize ETL/ELT pipelines for large-volume datasets. Work with business and technical teams to understand data requirements and deliver robust solutions. Perform data modeling, data validation, and performance optimization. Monitor and troubleshoot data pipelines and resolve production issues. Implement data quality, security, ...

... Degree in a quantitative field (e.g., Engineering, Mathematics, Finance, Computer Science, Statistics, Economics). - 0-2 years of professional experience in Data Science and Analytics. - Strong proficiency in SQL and working with large datasets; experience with Python or similar analytical tools. - Experience with modeling ...

... large-scale data processing and integration.- Develop automation and data processing scripts using Python or Scala.- Work with structured and semi-structured data from multiple data sources.- Implement and support data orchestration, data quality, and data governance processes.- Integrate streaming data sources and technologies ...