2,060 good data lab jobs in India.

... thinking over simply applying standard modelling techniques.7. Build production-ready solutionsWork with engineering teams to take models from notebooks into scalable production systems and continuously monitor their performance.8. Establish rigorous evaluationHealthcare models need more than good offline metrics. You will ...

... our people grow. For more information, visit WPP.com. Why we're hiring: The Data Engineer is responsible for the design, development, and implementation of scalable data solutions across the Azure Databricks platform supporting AUNZ. This role focuses on building and maintaining data pipelines using Databricks (Unity Catalog, ...

... Procure-to-Pay, Record-to-Report, and Plan-to-Produce — and apply that context to ground AI solutions in real enterprise reality. - Work with modern cloud and data platforms including Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, and GCP, gaining hands-on experience with scalable AI workflows. - Collaborate across ...

... Reliable, well-documented data products are available for analytics and AI use cases.- Data pipelines are scalable, cost-efficient, observable, and easy to operate.- Data engineers and AI teams can move faster using reusable patterns and self service data services.- Structured and unstructured data are effectively integrated to ...

... Responsibilities: - Design, develop, and maintain interactive dashboards and reports using Power BI to effectively communicate data insights to stakeholders. - Collaborate closely with cross-functional teams to understand analytical requirements and deliver impactful data-driven solutions. - Monitor data integrity and continuously ...

... architecting sophisticated machine learning pipelines to solve complex problems in credit risk, fraud detection, and personalized financial services. You will collaborate closely with product managers, software engineers, and business stakeholders to translate ambiguous financial data into scalable, production-grade models. ...

... activities across the data https://jobeax.com/link/GmpRkycDUBUNhxr2 Responsibilities : - Define data quality rules and controls- Conduct profiling and reconciliation- Develop DQ dashboards and scorecards- Monitor data quality KPIsSkills : - SQL- Data Profiling- Data Governance- Power BI- Data Quality Tools (ref:hirist.tech)

... and maintaining production-grade data workflows. - Good understanding of SQL and relational database concepts. - Experience with data modeling and designing scalable data solutions. - Strong troubleshooting and analytical skills. - Ability to work effectively in a collaborative, fast-paced environment. Good-to-Have Skills ...

... protect our organization's most valuable asset – ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation. If you're ready to embrace the power of data to transform our business and embark ...

... right to request access to your personal data, to request that your personal data be rectified or erased, and to request that the processing of your personal data be restricted. If you have any concerns or questions about the way Headout handle your data, you can contact our Data Protection Officer for more information.

... experience designing and building scalable distributed data pipelines and dimensional data models - 3+ years of experience in Python and SQL - Experience using Databricks platform and PySpark is a must. - Extensive experience of Microsoft Azure data services – Data Factory, ADLS gen2, Event Hubs, Azure SQL, Azure Key Vault ...

... translate them into scalable and efficient data structures.- Define entities, attributes, relationships, keys, constraints, and data definitions across enterprise data environments.- Develop and optimize relational and dimensional data models to support reporting, analytics, and business intelligence requirements.- Collaborate ...

... snowflake schemas), normalized databases, and data warehouse structures. Collaborate with business stakeholders, data architects, and development teams to define data entities, relationships, business rules, and data standards. Develop and maintain data dictionaries, metadata repositories, lineage documentation, and data mapping ...

... and understandable manner. - Cloud-Based Deployment: Deploying models on cloud platforms such as MS Azure, GCP, and AWS, optimizing their functionality and scalability. What we are looking for? - Proficiency in Python, SQL, data science modeling, and statistical analysis. - Strong grasp of ML algorithms and their implementation ...

... (Primary Responsibilities) include the following: - Conduct data research of companies in the commercial real estate industry - Research new knowledge and collaborate on solutions for assigned projects; share learnings with the team and peers - Implement and release data applications in AWS using big data technologies ...

... future role Take on a new challenge and apply your data analytics and process automation expertise in a cutting-edge field. You’ll work alongside skilled, collaborative, and forward-thinking teammates. You'll play a key role in ensuring the consistency, accuracy, and integrity of Master Data while driving data-driven decision-making ...

... across enterprise data models • Support integration of data models across operational systems, reporting platforms, and downstream applications • Participate in data governance, metadata management, and master/reference data initiatives • Analyze current data structures and recommend improvements for scalability, usability, ...

... future role Take on a new challenge and apply your expertise in data analysis, reporting, and automation within a cutting-edge field. You’ll work alongside collaborative, forward-thinking, and innovative teammates. You'll play a pivotal role in ensuring consistency, accuracy, and integrity of Master Data, enabling data-driven ...

... management and team coordination. - Performance, Security & Best Practices: - Optimize data storage, retrieval, and processing performance across various systems. - Collaborate with security teams to enforce data governance, compliance, and privacy standards. - Establish and promote best practices in data management, data engineering, ...

... knowledge of data modelling techniques, with expert proficiency in both relational and NoSQL databases. - Experience working with large, complex application and data landscapes. - Strong communication skills, with the ability to explain architectural concepts clearly to non technical stakeholders. - Ability to collaborate, ...