9,129 data engineer internship jobs in India.

... Education/Experience: Bachelor's or Master's degree in Computer Science, Information Technology, or related fields. Expertise in Data Engineering. Certifications in database technologies (e.g., Oracle DBA, Microsoft SQL Server, AWS Certified Database Specialist) are a plus. Proficiency in relational databases (MySQL, PostgreSQL, ...

... prediction, recommendation systems, and behavioral analytics. Data Engineering & Integration Architect robust data collection and integration pipelines across multiple data sources, including Firebase (Firestore, Firebase Analytics) and BigQuery . Oversee data preprocessing, feature engineering, and ETL pipelines to ensure reliability ...

... experience applying AI/ML to moderation, fraud/risk detection, anomaly detection, or similar domains - Strong proficiency in SQL and Python, with experience in data for real-time and streaming data - Experience building executive-ready dashboards and BI reporting for large-scale programs - Solid understanding of marketplace ...

... shape the future of clinical development. As a Senior Clinical Data Science Lead at ICON, you will lead the analysis, interpretation, and management of clinical data to drive the success of our clinical trials. What You Will Do: You will oversee clinical data science workstreams, ensuring deliverables meet quality and timeline ...

... experience (e.g., 7 + years) as a Data Quality Engineer or similar role. Familiarity with modern data catalog and metadata management tools. Solid understanding of data quality principles, methodologies, and best practices Strong SQL skills for data querying and analysis. Experience with data profiling and data analysis techniques.

... world, designing and building of a premier data platform to automate data acquisition, ingestion, transformation, and distribution, and to support enterprise-wide data processing. Our product managers and engineers design and build data systems to solve some of the most complex technical and business data management problems ...

... and identify ways of implementing them to enhance efficiency and deliver business impact. 2 to 4 years of relevant experience. Bachelor's or master's degree in data science, statistics, mathematics, computer science or engineering. Strong experience in building AI/ML models and delivering data science projects. Deep understanding ...

... Engineering, Mathematics) with 5+ years of professional experience; or a Master's degree with 3+ years of professional experience. Professional experience in data science, data / software engineering, controls, operations research, or related roles in the energy sector (e.g., Excellent programming skills in Python and SQL, ...

... frameworks such as Hadoop, databases (PostgreSQL, MongoDB, YugaByte), understanding of cloud-native deployments and infrastructure MSc/BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or a quantitative field is preferred Experience in data mining Experience in product development

... architecture, data architecture, platform engineering, or closely related technology roles. - Strong experience designing modern data platforms, preferably using Databricks, Delta Lake, and Unity Catalog . - Solid understanding of lakehouse architecture, data governance, metadata management, data products, and semantic modeling. ...

... data privacy regulations, including HIPAA and similar standards. Build secure AI systems that maintain the confidentiality and integrity of sensitive patient data. Collaborate with engineers, product managers, clinicians, and other stakeholders to translate clinical needs into AI-driven solutions. Communicate complex technical ...

... https://jobeax.com/link/7AbzEoKq1QWAaTBq Accountabilities :- Data Engineering & Pipeline Development : Design and implement end-to-end data pipelines (batch and streaming) using Azure Data Factory / Synapse Pipelines and Databricks.- ETL/ELT Development : Develop scalable ETL/ELT workflows using PySpark, SQL, and Databricks notebooks to process ...

... frameworks. Develop and implement Generative AI models to solve business challenges. Perform data preprocessing, exploratory data analysis (EDA), and feature engineering (FE) to prepare data for modeling and optimization. Write efficient and scalable code in Python, R, and SQL to manage and manipulate data. Collaborate with ...

... Random Forest, XGBoost, Recommender Systems, LSTMs, Neural Networks, NLP. - 6 months -1 year on Generative AI & Agentic AI: LangChain, OpenAI models, prompt engineering, RAG pipelines. - More on traditional machine learning with cloud aws exposure - Understanding of statistics, Ex – Data distributions, Data drift, and hypothesis ...

... product, marketing, and growth teams to translate data insights into product features and campaign strategies. Develop and maintain dashboards, metrics, and data pipelines for key business KPIs. Work with engineering teams to productionize models and ensure scalability and performance. 2–6 years of experience in Data Science, ...

... financial services industry.- Conduct experiments to evaluate model performance and identify opportunities for optimisation and improvement.- Work closely with data scientists, engineers, cross-functional teams and academic institutions to translate research into practical AI applications.- Explore and apply emerging AI/ML ...

... with Data Engineering teams to resolve data-quality issues and conduct root-cause analysis. Continuously improve analytical processes, dashboards, models, and data-driven decision-making practices. 3+ years of experience in Data Analytics, Business Analytics, Data Science, or a related field, preferably within a product-driven ...

... recommendations to stakeholders.- Collaboration: Partner with cross-functional teams to understand business requirements and deliver data-driven solutions.- Data Governance: Maintain high standards of data accuracy and integrity across reporting systems.- Data Visualization: Experience with data visualization tools such ...

... physical data models for enterprise applications and data platforms - Create scalable and efficient models for financial data structures, including fund, LP, and GP data domains - Develop schema designs for both SQL and NoSQL databases - Work closely with business stakeholders, data architects, engineers, analysts, and product ...

... and data visualization solutions to supply chain use cases, using techniques such as Large Language Models, foundation models, predictive modeling, feature engineering, and exploratory data analysis to solve complex business problems. Hands-on experience building GenAI and LLM-based applications, including chatbots, copilots, ...