2,630 big data analytics jobs in India.

... (Day/Afternoon) As required Salary Range Min. Max. Functional Role (Job Description) Finance Director will be a part of Global Business Shared Services team in NTT DATA. The primary responsibility is support Finance Operations in Global environment with knowledge & expertise required to manage work in a MNC. The role also encompasses ...

... Solid understanding of data modeling, business intelligence, and analytics best practices. - Strong problem-solving skills and ability to communicate complex data insights clearly to non-technical stakeholders. Preferred Skills: Experience in healthcare analytics or healthcare data systems. Knowledge of cloud data platforms ...

... ecosystem. - Experience in migrating data structured, unstructured data to Data lake - Experience or understanding of performance engineering both at system level and database level. - Experience or understanding of Data Governance, Data Quality, Data Issue Management. - Work closely with the implementation teams of the various ...

... Global Capital, CoinFund, Gumi Cryptos) and crypto projects (Aave and Kyber Network). Support our analytics team by owning the full ETL lifecycle—from master data to analytics-ready datasets. You will build and maintain daily batch pipelines that process 1-10 million master-data rows per run (and scale up to tens or hundreds ...

... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...

... team's success. Experience with building streaming pipelines with a micro-services architecture for low-latency analytics. Experience working with varied forms of data infrastructure, including relational databases (e.g. SQL), Spark, and column stores (e.g. Redshift) Experience building scalable data pipelines using Spark using ...

... reliability of 2K’s data ecosystem. This role applies DevOps principles to data engineering, managing CI/CD for data assets, Infrastructure-as-Code (IaC), and advanced data observability. focuses on complex problem-solving, optimizing cross-functional data flows, and ensuring that data infrastructure is scalable, secure, and highly ...

... like Data Lakes and SQL DW to build robust data solutions. Write SQL, Python, and PySpark code for efficient data processing and transformation. experience in data ingestion, data processing, and analytical pipelines for big data and relational databases. Hands-on experience with Azure services: ADLS, Azure Databricks, Data ...

Role & Responsibilities: Lead the design, development, and deployment of AI and data analytics applications. Build and enhance applications using technologies such as React, Python, AWS, Snowflake, and other relevant tools. Develop chatbots or agents leveraging Agentic AI and LLM technologies. Conduct advanced data analytics ...

... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...

... with multiple stakeholders at varied levels of the organization Experience using data and metrics to determine and drive improvements Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage Experience working cross functionally with tech and ...

... stakeholders, product owners, data scientists, and analysts to understand data needs and translate them into engineering solutions.- Build and maintain Power BI data models, semantic layers, and datasets to support self-service analytics and business reporting.- Continuously identify opportunities to optimize pipeline performance, ...

... Agile/Scrum practices within the team Required Skills Strong experience in Microsoft Azure (ADF, ADLS, Azure SQL, etc.) Hands-on or good understanding of Azure Databricks Experience in data engineering / big data projects Knowledge of ETL/ELT processes Familiar with Python / SQL Experience with Agile/Scrum methodologies Good ...

... including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Our Commitment to Diversity and Inclusion At Databricks, ...

Job Description We are seeking a hands-on Analytics & Insights Partner to act as a strategic commercial advisor, delivering data-driven insights that advise decisions, optimise performance, and drive commercial growth. As a key member of the India business unit, you will combine business insight, analytical expertise, and ...

... management practices.- Build, mentor, and scale high-performing AI Engineering and Data Science https://jobeax.com/link/2mGCGUAQ2cwJhAx8 Candidate :- 1. Strong Lead Data Science, AI Engineer, or Machine Learning Engineer profiles.- 2. Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience ...

... information and mitigate risks Metadata Management — developing level; maintaining accurate data catalogues that support discoverability and usage partnering with data producers and consumers to meet shared objectives Data Analytics — developing level; interpreting data patterns to inform governance decisions and improvements ...

... streaming analytics with the ability to govern decisions and manage outcomes with business agility. This program leverages business rules and AI engines, streaming big data platforms, in-memory data grids, APIs, cloud-native services, and modern user interfaces to deliver real-time decisions at global scale. This role is responsible ...

... essential for presenting complex analyses in a concise and impactful manner. Strategic thinking and the ability to build credibility with the Commercial Leadership Team are key. Familiarity with scientific areas especially oncology is a plus. Experience working with big data technologies, including Spark, is desirable.

... various sources. Data Integration: ~ Work on integrating data from multiple platforms and databases into a cohesive environment using Azure technologies, ensuring data consistency and quality. Data Analysis & Reporting: Implement data engineering solutions to support reporting, analytics, and business intelligence tasks. Utilize ...