1,845 data labelling jobs in India.

... 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 ...

... and classification Drive adoption of our Data Cataloguing and Data Quality Platform while managing data access requests and agreements Ensure compliance with Data Golden Rules through enforcement mechanisms and ongoing monitoring Data Governance — developing level; establishing policies that ensure data integrity and regulatory ...

... 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, ...

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, ...

... experience in data engineering with a strong track record of delivering production-grade data solutions.- Strong proficiency in Python (PySpark, Pandas) and SQL for data transformation, pipeline development, and performance tuning.- Proficient with Microsoft Fabric including Lakehouses, Warehouses, Dataflows Gen2, and Data Pipelines.- ...

... 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 ...

... maintain data models using Azure Data Modeling techniques to meet business needs. Create and optimize ETL pipelines, leveraging Azure Data Factory and Azure Databricks to process large datasets and integrate data from various sources. Data Integration: ~ Work on integrating data from multiple platforms and databases into ...

... the Data Pipeline team you will be at the Center of building our platform that enables us to redefine the Commercial Real Estate industry. We are building a data pipeline that merges with the tested design of data warehousing and the latest big data technologies. You will own features and modules end to end — designing ...

... technical and non-technical audiences. This might involve presenting research findings at conferences or writing papers for academic journals. Your profile as Senior Data Scientist (m/f/d): - 8+ years of experience in research development, with a strong understanding of data structures and algorithms. - Master's degree in Mathematics, ...

... large-scale datasets and optimize data processing for performance and cost.- Troubleshoot production issues, perform root-cause analysis, and implement permanent fixes.Databricks:- Strong hands-on experience with Databricks.- Implement and manage Databricks Unity Catalog for data governance, access control, and data discovery.- Develop ...

... assets 3.5-5 years of experience in data visualization and analysis, with a strong focus on Tableau/Power BI. - Proficiency in SQL and experience with relational databases. - Strong understanding of data warehousing concepts and data modeling. - Creative mindset with a keen eye for design and detail. - Ability to communicate ...

... data specialists to design, develop, and deploy data-driven solutions. You will be responsible for identifying business opportunities, translating them into data strategies, and driving measurable outcomes. Manage a team of data scientists, machine learning engineers, and big data specialists. Lead data mining, data collection, ...

... don’t expect you to have every single skill. Instead, we’ve listed some that we think will help you succeed and grow in this role: - Degree in Computer Science, Data Analytics, Engineering, or a related field - 4+ years of experience in Data Analysis, Master Data Management, or Reporting - Strong expertise in data analysis, ...

... product owner.- Apply concepts of Lean Agile, Customer Centricity and Design Thinking within the analysis approach.- Develop data models, data flows and other data related artefacts to visualise data relationship and process.- Assure solutions through techniques such as data modelling, data lineage, data dictionary, and ...

... platform and proprietary valuation model and assuring and improving the data quality that is aggregated in Lincoln’s proprietary private market database. The VOG Data Specialist will work closely with technical teams and bankers to understand Lincoln’s proprietary valuation model and process and associated data challenges, ...

... management or content metadata platforms • Experience supporting data lake, warehouse, or enterprise data platform initiatives Key Competencies: • Enterprise data modeling • Financial domain knowledge • Metadata and schema design • Cross-system entity mapping • Data quality and governance alignment • Business-to-data translation ...

... ingest data from IoT/smart-cart telemetry, video events, operational systems, and external partners into our cloud data lake/warehouse. Build and maintain robust data infrastructure, including databases (SQL and NoSQL), data warehouses, and data integration solutions. Data Modeling: Establish canonical data models and definitions ...

... don’t expect you to have every single skill. Instead, we’ve listed some that we think will help you succeed and grow in this role: - Degree in Computer Science, Data Analytics, or a related field - 4+ years of experience in Data Analysis, Master Data Management, or Reporting - Strong expertise in data analysis, reporting, ...