2,502 big data python jobs in India.

... standards : version control, testing, CI/CD, observabilityRequired qualifications : - Full stack - React/Next.js + https://jobeax.com/link/JSd7UYCSg572jJDY and/or Python; database design; API development- AI-native workflow - Daily use of AI coding tools (Copilot, ChatGPT, Cursor, etc.) for development, debugging, iteration- ...

... SAFe, PMI ACP, or Scrum related credentials Experience working with manufacturing, supply chain, finance, commercial, engineering, or other enterprise business data domains The Data Program Manager will be an effective communicator and enterprise leader who can bring structure to ambiguity, align diverse stakeholders, and ...

... Required Skills & Experience Core Expertise - Test Architecture for system-level products across hardware, firmware, and cloud/mobile. - Automation frameworks (Python, JS, Robot/System frameworks), design patterns, reliability engineering mindset. - CI/CD and release pipelines; artifact versioning; environment orchestration; ...

... Experience working with graph query languages such as SPARQL or Cypher and optimizing graph query performance.- Familiarity with RDF, OWL, or property graph data models and semantic data architectures.- Strong Python engineering skills, with emphasis on data validation, schema integrity, and system reliability.- Experience ...

... 2 years focused on GenAI, OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and Prompt Engineering.- Strong software engineering foundation (OOPs, data-structures, algorithms).- Proven experience in Python, R, TensorFlow, PyTorch, Keras, Julia, NLP.- Experience with big data, Angular, React, NodeJS, C#, .NET ...

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies ...

... Experience working with graph query languages such as SPARQL or Cypher and optimizing graph query performance.- Familiarity with RDF, OWL, or property graph data models and semantic data architectures.- Strong Python engineering skills, with emphasis on data validation, schema integrity, and system reliability.- Experience ...

... Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer ...

... 2 years focused on GenAI, OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and Prompt Engineering.- Strong software engineering foundation (OOPs, data-structures, algorithms).- Proven experience in Python, R, TensorFlow, PyTorch, Keras, Julia, NLP.- Experience with big data, Angular, React, NodeJS, C#, .NET ...

... experience in Python . - Strong expertise in SQL , including complex queries, joins, CTEs, window functions, and query optimization. - Experience developing ETL/ELT data pipelines . - Hands-on experience with one or more GCP services such as: - BigQuery - Cloud Storage (GCS) - Cloud Composer / Airflow - Experience with Apache ...

... depending on experience. Full-time, permanent post Clarksons Research , the data and analytics arm of Clarksons, are market leaders in the provision of independent data, intelligence and analysis around shipping, trade, offshore and maritime energy transition. Millions of data points are processed and analysed each day to provide ...

... 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 ...

... optimization and inference efficiency. - Experience with cloud platforms (AWS, Azure, or GCP) and MLOps for scalable AI deployments. - Proficiency in working with big data technologies (Spark, Hadoop, SQL, NoSQL databases). - Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions. ...

... supervision. As a Data Entry Specialist, you will be responsible for accurately entering data into our systems, maintaining and updating records, and ensuring data quality and integrity. Enter data into our systems accurately and efficiently, following established procedures and guidelines - Verify and review data for accuracy ...

... activities.- Use Python for scripting and automation of operational tasks.- Collaborate with development, infrastructure, and DevOps teams for application and database deployments.- Support CI/CD pipelines and database deployment automation.- Participate in Agile ceremonies and follow established DevOps https://jobeax.com/link/wJIgo45kO3tINlTo ...

... of Looker Studio, Google Search Console and Tag Assistant. Familiarity with Hotjar, OneTrust, Consent Mode and Google marketing pixels. Basic familiarity with BigQuery or another analytical data platform. We call it Dynamic Shared Ownership (DSO). Please do not entertain such demand for payment by any individuals / entities ...

... evaluation and access-control scenarios by executing and analyzing API requests and responses.- Working knowledge of modern data and analytics platforms, including Databricks, Snowflake, and Azure Synapse Analytics.- Familiarity with data platform architectures, as a significant portion of client applications and data solutions ...

... usage onsite or in the cloud. Contributes to the setting of standards for data and BI platforms and ensures conformance to these standards Job title: Senior Data Engineer Job Description: We are looking for a motivated Databricks Senior Data Engineer to support the delivery of data engineering solutions across Databricks ...

... : - Define and enforce the enterprise-wide MDM strategy, standard operating procedures (SOPs), and data governance models.- Establish a RACI matrix detailing data ownership and stewardship across plant operations and corporate functions.- Lead the Data Governance Council to review data quality metrics, align stakeholders, ...

... data quality and scalability of solutions. - Leverage cloud platforms like AWS, GCP for model training and deployment. - Utilize tools and libraries such as Python, TensorFlow, PyTorch, Scikit-learn, and Spark for development. - With so much innovation happening around Gen AI and LLMs, we prefer folks who have already exposed ...