9,305 big data engineer jobs in India.

... 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, ...

... reducing cost, rewarding big users not penalizing them, empowering more people and leading the human centric AI future. Telecom Invented. Senior Data Scientist The Data Scientist will report to the Data Science Section Manager / Senior Data Scientist (10-12 years of experience). We are looking for Senior Data Scientist who will ...

... 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, ...

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