3,527 game data analyst jobs in India.

... deploying complex data architectures within Microsoft Fabric and the broader Azure ecosystem.- Advanced proficiency in Python and SQL for building sophisticated data processing pipelines and complex analytical models.- Strong background in data engineering principles, including ETL/ELT design, data modeling, and performance ...

... Docker, Cloud-Native Infrastructure, CI/CD pipelines. Industry Context: Data engineering experience in Banking Risk, Retail Products, Cards, Mortgage, Deposits, or Wealth Management. Assumed Requirements / Certifications: Databricks Certified Data Engineer, AWS Certified Data Analytics, or Azure Data Engineer Associate.

... workflows, dose analysis, and program management for radiation safety professionals. We are looking for a seasoned Data Engineer to take a lead role in shaping the data foundation across Landauer's growing portfolio of products. You will set the standards for how data is modeled, moved, and governed — owning the full data lifecycle ...

... of truth. Develops and operationalizes data pipelines to bring data into Costco’s GCP landscape for the delivery of certified data sets Works in tandem with Data Architects, Data Stewards, and Data Quality Engineers to design data pipelines and recommends ongoing optimization of data storage, data ingestion, data quality ...

... Data Engineer will design, build, and maintain scalable data pipelines and solutions, ensuring high performance and reliability across COSMOS DB and related data platforms. Daily responsibilities include modeling and structuring data, implementing ETL processes, optimizing data storage and retrieval, and collaborating ...

... framework (catalog, lineage, ownership)- Ensure data quality, consistency, and compliance- Work closely with business leaders to translate requirements into data solutions- Lead cross-functional teams (data engineers, analysts, data scientists)- Manage vendors, partners, and external technology providers- Drive roadmap ...

... solutions in Client Data Product Management . As a Data Product Manager within our dynamic team , you will be responsible for scaling the CDM(client data management) data product, strengthening operating models, and driving operational excellence through data-driven execution. Drive product development for the CDM data product ...

... hands-on experience in data science.- Strong proficiency in Python and libraries such as NumPy, pandas, scikit-learn, TensorFlow/PyTorch.- Expertise in SQL for data extraction, transformation, and analysis.- Proven experience with PySpark or distributed data processing frameworks.- Deep understanding of machine learning and ...

... We're the world's leading data, insights, and consulting company we shape the brands of tomorrow by better understanding people everywhere. We are looking for a Data Scientist who will work with a team of expert Data Analysts/Scientists/Engineers and a team of expert and dedicated developers. The key focus of this role is ...

We're Hiring: Founding Game Artist – Equity Basis | Remote | India Are you a game artist who loves not just creating assets, but thinking about why a game looks, feels, and performs the way it does? We're looking for a Founding Game Artist to join us at an early stage and take complete ownership of the art across our game ...

Actively hiring Game QA Tester Start Date Starts  Immediately CTC (ANNUAL) ₹ 2,00,000 ₹ 2,00,000 /year Experience... Suggested Permanent employment Full time Immediate start

... - Collect, clean, process, and analyze structured and unstructured data. - Build and evaluate machine learning and statistical models. - Perform exploratory data analysis (EDA) and identify meaningful patterns and insights. - Develop data pipelines and prepare datasets for analytics and ML use cases. - Work with engineering ...

... 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 ...

... Hands-on experience working with large language models, building agents, prompt engineering, or model fine-tuning techniques. - Strong proficiency in Python & Data Science Toolkit - Extensive experience with Python-based data science tools and machine learning frameworks. Benefits & Perks - Excellent group health coverage ...

... efficiency, the successful candidate will ensure data integrity across client files, financial statements, and internal systems. Accurately input and update financial data into accounting software and databases. - Maintain and organize digital and physical client records, ensuring confidentiality and compliance. - Verify data accuracy ...

... and informing the supervisor of any errors or inconsistencies. Capturing data into digital databases and performing regular backups. Updating and maintaining databases, archives, and filing systems. Monitoring and reviewing databases and correcting errors or inconsistencies. Generating and exporting data reports, spreadsheets, ...

Private Work at office Immediate start Remote job Home office Flexible hours

... the GDS Data Protection program. Your key responsibilities The Supervising Associate within GDS Data Protection team will assist in driving aspects of the GDS Data Protection program in collaboration with GDS Global Data Privacy Leader. Responsibilities include assisting with: providing advice and interpretation of data ...

Principal Data Scientist - 7+ Years - BangaloreWe are hiring a Principal - Data Scientist with GenAI for a leading global AI and analytics organization. The role offers an opportunity to work on complex business problems and develop, implement and deploy Machine Learning and Generative AI solutions across https://jobeax.com/link/iWvc74qOaz1N3AKd ...

... 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 ...