9,305 big data engineer jobs in India.

... basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages. Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further ...

Experience: 3 -5 Years (In Data Analytics) Mode: Hybrid - Fulltime Location: Bangalore Must Have Skills: Advanced SQL, Complex queries, Business Analysis, Experimentation Prefer: Immediate Joiners/Serving Notice Key Skills & Qualifications: Advanced SQL expertise with strong proficiency in writing and optimizing complex ...

... https://jobeax.com/link/GEnvHPnJ23cIYVmv where 60–70%+ of experience is in GenAI, LLMs, RAG systems, or applied AI with no classical ML grounding Python used exclusively for backend/software engineering — not data science Step 3: Increase your chances to get shortlisted & meet the client for the Interview! Our role will be to help all our talents find and ...

... including Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, and GCP, gaining hands-on experience with scalable AI workflows. - Collaborate across product, engineering, and business teams to understand how ambiguous business challenges get translated into concrete AI solutions, and contribute meaningfully to that process ...

... transactional data. You will work closely with Data Engineering, Product, Technology, Analytics, and Business teams to turn complex business problems into scalable data science solutions. Mortgage domain experience is preferred but not required. We are equally interested in candidates with strong data science fundamentals who ...

Data Science & AI/ML Lead About The Role As a Data Science & AI/ML Lead , you will make an impact by leading the design, development, and optimization of enterprise AI solutions that transform experimental models into scalable, production-grade capabilities. You will be a valued member of the AI Engineering team and work ...

... with significant exposure to eCommerce, digital marketing, loyalty programs, or omnichannel retail. - Expert SQL skills and significant experience with large datasets in Snowflake, Databricks, or similar platforms. - Strong proficiency in Python (pandas, scikit-learn, stats models) for modeling, feature engineering, and ...

... Use tools like MLflow and Docker for model lifecycle management and MLOps best practices. Collaborate with cross-functional teams including product managers, data engineers, and designers to align AI outputs with business needs. 7+ years of experience as a Data Scientist with good experience in Generative AI or LLM-based ...

... including Azure SQL, Snowflake, MongoDB, and Databricks environments. Implement proactive monitoring, alerting, forecasting, and automated remediation processes for database performance, storage utilization, security compliance, and operational health. Collaborate with DevOps, Data Engineering, and Application teams to integrate ...

... solution using available data You demonstrate hands-on experience with preprocessing, feature engineering, feature selection and data cleansing on real world datasets Preferably you have work experience in an engineering or technology role You bring a strong background of Python and handling large data sets using SQL in ...

... departm Strong understanding of banking regulations, including Specific Regulations or Standards, enabling seamless integration of compliance requirements into data engineering solut Excellent problem-solving skills, demonstrated through successful resolution of complex data integration challenges and adherence to data quality ...

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

... quantitative/qualitative analysis. Complete all responsibilities as outlined on annual Performance Plan. About You: Should hold a Bachelor's or Master's degree in data/analytics, computer science, engineering, economics, mathematics, or statistics. Should have experience using machine learning tools to develop production-strength ...

... architectures like RNNs and LSTM , BERT Should have worked with cognitive services from major cloud platforms like AWS and have a working knowledge of SQL and no-SQL databases. Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles Keep abreast with new tools, algorithms ...

... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...

... Generative AI/LLMs to improve workflows such as automated triage, intelligent alerting, summarization, or recommendations - Solid data engineering fundamentals (SQL, data modeling, ETL/ELT, distributed data systems) and effective partnership with Data Engineering teams - Bachelor's degree in Computer Science, Data Science, Statistics, ...

... Perform data cleaning and preprocessing to prepare datasets for analysis. Write complex SQL queries to extract, manipulate, and analyze data from relational databases. Work with cloud platforms (e.g., AWS, Azure, Google Cloud) to store, manage, and analyze data. Use statistical techniques and software to analyze datasets, ...

... Design and implement GenAI systems with LangChain , RAG , and agent workflows Translate business goals into production-ready AI applications Work with prompt engineering , embeddings, and vector databases Collaborate with engineering, product, and data teams on performance optimization Deploy AI solutions on AWS, Azure, or ...

... operationalize data science and analytical solutions as well as ensure its adoption by businesses. Work toleveragedata (Transactional / Big Data, External/ Internal Data, Structured/ Unstructured Data) and analytics methodsto develop analytics solutions 6 - 8 years of experience, preferred - BTech-BE from Tier 1/2 engineering ...

... LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, ...