9,305 big data engineer jobs in India.

About Position: This role requires a strong background in data analytics and BI development, with a primary focus on Power BI and Snowflake. The candidate will work on building, managing, and optimizing data pipelines, reports, and dashboards while collaborating with clients and internal teams. Role: Data Analyst Location: ...

... with weekly status reports, steering meetings, and https://jobeax.com/link/qyIZR80ZvNhcfNd5 Leadership :- Manage and mentor cross-functional teams including Data Engineers, BI Developers, Analysts, and Architects.- Build strong delivery culture focused on ownership, quality, and continuous learning.- Conduct performance ...

... required in one of the following or related fields: Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science or Data Science. An advanced degree is preferred (Master's, MBA or PhD). Proficient in PBI, PowerApps [development & troubleshooting], SQL, Python, Databricks, and AWS ...

... extend an existing Python codebase. Since access to external LLM-based coding assistants such as ChatGPT or Claude may be limited due to the confidentiality of data, the candidate must have strong independent coding and problem-solving https://jobeax.com/link/dk3yIJ4DTvIrORf2 data preparation, feature engineering, statistical ...

... scale. - 2+ years' experience developing and tuning LLM systems. - Strong cross-functional communication with technical and non-technical partners. - Hands-on data engineering experience manipulating data sets, data cleaning, and pipelines with strong coding skills in Python and SQL. - Strong software development foundations ...

... model for classification, regression & clustering - Strong experience in feature engineering, data preprocessing, and building machine learning models for large datasets. - Exposure to Information Retrieval, Web scraping and Data Extraction at scale - SQL (any variant, bonus if this is a big data variant) - Linux OS (e.g. ...

EBO Management Information System (India) Travel Required Gather data from primary and secondary sources, ensuring the upkeep of databases and data systems. Cleanse data and scrutinize computer-generated reports and outputs to identify and rectify coding errors. Employ statistical techniques to scrutinize data and produce ...

... extend an existing Python codebase. Since access to external LLM-based coding assistants such as ChatGPT or Claude may be limited due to the confidentiality of data, the candidate must have strong independent coding and problem-solving abilities. Perform data preparation, feature engineering, statistical analysis, model training, ...

... IT services firms globally, known for its work in digital transformation, technology consulting, and business process outsourcing, Business Focus on Digital Engineering, Cloud Services, AI and Data Analytics, Enterprise Applications ( SAP, Oracle, Sales Force ), IT Infrastructure, Business Process Out Source. India is a ...

... and monitor model performance using appropriate risk and business metrics, ensuring compliance with regulatory and governance requirements. Collaborate with Data Scientists, Data Engineers, and MLOps Engineers to productionize models and continuously improve model monitoring, deployment, and operational processes. Conduct ...

... for data governance. Perform risk assessments and DPIAs. Create and put into effect data privacy policies. Risk Evaluations Give instructions and directions on data protection. Communicate with authorities and deal with data breaches 5 years' experience working within Data Protection - Strong knowledge of GDPR and data protection ...

... reporting. Break down complex problems into structured analysis, and communicate insights clearly to the stakeholders. Bachelor's degree in a related field (e.g., Engineering, Data Science, Statistics, Business Analytics) Experience: 4-6 years in data analysis, with demonstrated ownership of end-to-end deliverables with clear ...

... https://jobeax.com/link/puecKMACpIogzfa4 job description & Key Responsibilities: Develop, Test, and Deploy machine learning models for various business and Telco use cases. Perform data preprocessing, feature engineering and ML/DL model evaluation. Optimize and fine-tune models for performance and scalability. Good understanding of NLP concepts ...

... scalable data capabilities Strong programming, data engineering, data modeling and analytical problem-solving skills, including experience with large and complex datasets Experience operating in cross-functional environments and partnering with business, analytical, technology and data stakeholders to deliver complex initiatives ...

... consistently. You will also partner with the different teams to identify, pilot, and operationalize AI- and automation-driven tools that reduce manual work, improve data quality, and scale our workflows, while training your team to adopt these tools safely and effectively. A Day in the Life of a Provider Data Operations Team Lead: ...

... prediction, recommendation systems, and behavioral analytics. Data Engineering & Integration Architect robust data collection and integration pipelines across multiple data sources, including Firebase (Firestore, Firebase Analytics) and BigQuery . Oversee data preprocessing, feature engineering, and ETL pipelines to ensure reliability ...

... experience applying AI/ML to moderation, fraud/risk detection, anomaly detection, or similar domains - Strong proficiency in SQL and Python, with experience in data for real-time and streaming data - Experience building executive-ready dashboards and BI reporting for large-scale programs - Solid understanding of marketplace ...

... shape the future of clinical development. As a Senior Clinical Data Science Lead at ICON, you will lead the analysis, interpretation, and management of clinical data to drive the success of our clinical trials. What You Will Do: You will oversee clinical data science workstreams, ensuring deliverables meet quality and timeline ...

... experience (e.g., 7 + years) as a Data Quality Engineer or similar role. Familiarity with modern data catalog and metadata management tools. Solid understanding of data quality principles, methodologies, and best practices Strong SQL skills for data querying and analysis. Experience with data profiling and data analysis techniques.

... world, designing and building of a premier data platform to automate data acquisition, ingestion, transformation, and distribution, and to support enterprise-wide data processing. Our product managers and engineers design and build data systems to solve some of the most complex technical and business data management problems ...