2,002 good data lab jobs in India.

... management; Perform role of Data Team Lead (DTL). Comply with Good Clinical Practices (GCPs), applicable regulatory guidelines, SOPs, policies, and, where available, CDM guidance documents Client Management:. serve as primary point of contact for customer on data management deliverables. With minimal guidance, provide project ...

... and convenience in a seamless digital experience. Collaboration with Data Engineering Team Partner closely with our Data Engineering team to ensure efficient data collection, storage, and processing Collaborate in designing and optimizing data pipelines for seamless data movement Work jointly on data architecture decisions ...

... preparing data for prescriptive and predictive modeling. Data engineers also develop data set processes for data modeling, mining, and production, integrate new data management technologies and software engineering tools into existing structures, and collaborate with data scientists and analysts to ensure data accuracy and ...

... stations operating in environments with variable network connectivity. Data Architecture & Edge Ecosystem Design Design, build, and maintain a highly resilient, scalable data architecture capable of syncing, storing, and processing massive datasets from both centralized cloud services and distributed edge devices (battery swap ...

... affordable healthcare. Build and manage digital analytics datasets and reporting solutions Develop data pipelines and analytical reporting frameworks Support data validation, UAT, process improvements, and analytics initiatives. Experience & Qualification: Python Power BI & Dashboard Development Data Modeling & Data Validation ...

... findings clearly - Familiarity with business metrics and KPIs is beneficial - Experience with academic, personal, or portfolio data analysis projects is a plus - Good written and verbal communication skills - Ability to organize multiple analytical tasks and meet deadlines - Ability to work independently and collaborate effectively ...

Consultant Data Engineer Databricks | Azure | PySpark | Spark SQL - Bengaluru / Hyderabad / GurugramLooking for an experienced Data Engineer with strong expertise in Azure Databricks, PySpark, Spark SQL, Azure Data Factory (ADF), ADLS, ETL, and SQL. You will design scalable data pipelines, build modern Lakehouse solutions, ...

... Application Insights, MLflow tracking, Datadog, or equivalent monitoring platforms - Strong understanding of ML quality dimensions such as bias, overfitting, data leakage, model drift, explainability, reproducibility, and performance stability - Ability to translate business problems into scalable ML solutions and guide ...

... Bachelor's degree (preferably in Computer Science, Mathematics, Data Science, or a related field). - 3-6 years of overall experience in software development and data analysis. - Hands-on experience in Python for application development. - Strong proficiency in SQL for data analysis and query generation. - Experience with hosted ...

... the approach, data requirements and success measures. Design and oversee ML solutions across the pharma commercial lifecycle, and choose methods that fit the data and the decision they support. Quality-check the team's work and guide models to production through cross-team collaboration. Lead project delivery across timelines, ...

... meaningful engineering challenges, grow your technical ownership, and collaborate with experienced engineers across the development lifecycle. Design and build scalable backend services, REST APIs, integrations, and reusable software components using Python and, where relevant TypeScript. Develop data ingestion, transformation, ...

... DevOps. Develop reusable, modular, and maintainable code following software engineering best practices and coding standard. Optimize application performance, scalability, and reliability for high-volume data processing workloads. Implement automated testing, including unit test cases using pytest. Collaborate with front end ...

... Load) scripts to move data across various systems. Database Management: Write basic SQL queries, create tables, and interact with PostgreSQL databases to support data storage and retrieval. Data Orchestration: Help schedule, monitor, and troubleshoot automated data workflows using Apache Airflow. Stream Processing: Collaborate ...

... tools. Collaborate with Data Analysts and Data Scientists to deliver clean, structured, and analytics-ready datasets. Optimise data pipelines for performance, scalability, reliability, and AWS cost efficiency . Integrate data from multiple internal and external systems while maintaining data consistency and reliability. Develop ...

... improve the Data Lakehouse, utilizing Unity Catalog for efficient data management and discovery. Construct automation, frameworks, and enhanced tools to streamline data engineering workflows. Collaborate across teams to facilitate smooth data flow and integration. Enforce best practices in observability, data governance, security, ...

... - Strong knowledge of Data Ingestion, Connectors & Integration Frameworks - Advanced SQL and Performance Tuning skills - Experience building and optimizing scalable data pipelines - Understanding of Data Architecture & Data Warehouse Concepts - Ability to collaborate with global/onshore teams and translate business requirements ...

... programme with the R&D centre of excellence of a large Indian manufacturer. The centre holds four decades of engineering knowledge — design records, formulations, laboratory results, test data, reports and studies — spread across enterprise systems, departmental databases, local servers and document archives. The programme ...

... identification and resolution of data discrepancies and issues, working to streamline data flow and enhance data quality throughout the study lifecycle. - Collaborate closely with cross-functional teams, including clinical operations and biostatistics, to develop and execute data management strategies tailored to specific ...

... pipelines on Azure and Databricks. Own schema design, API development, and data infrastructure for analytics and intelligence products. Key Responsibilities Data Pipeline Development Implement robust, scalable data pipelines using Microsoft Azure and Databricks stack Build reusable data pipeline components and frameworks ...

... identify candidate signals worth developing further. Becoming a domain expert on different deep learning and machine learning applications for high frequency data, analyzing & understanding the underlying dynamics, market microstructure and behaviors within the data. Develop insights based on the data and collaborate with ...