1,826 data labelling jobs in India.

Role: Senior Data Scientist Responsible for designing, developing, testing and deploying ML models that can leverage multiple signal sources, to build a personalized user experience Work closely with the business stakeholders to identify the potential Data science applications Contribute by doing opportunity analysis, building ...

... identification, documenting data sources, methodologies, and quality findings with recommendations for improvement. Designing and building data pipelines to automate data movement and processing. Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and ...

$100 USD

... build, and optimize high-throughput data pipelines using Python, R, and PostgreSQL to handle market and execution data. - Build and manage robust, scheduled data workflows using tools like Airflow/Dagster to ensure 24/7 data availability for global markets. - Monitor pipeline health, debug data discrepancies in logs, and ...

• Hybrid
• Contract

... helping enterprises solve complex data, AI and cloud transformation challenges. Founded in 1991, Impetus has grown into a global engineering organization serving data-driven enterprises and Fortune 100/500 clients. Its capabilities span cloud engineering, data engineering, enterprise AI, application modernization, DevOps and ...

• Contract

... exceptional customer https://jobeax.com/link/Pbn4lQC1L4k8wFDg team is passionate about innovation and collaboration, and we are looking for a talented Senior Data Scientist to join our team and work on impactful, high-scale https://jobeax.com/link/95FjFQQxFCFXlCQv You'll Do :Role Summary :As a Senior Data Scientist, you'll ...

... and more chances to do meaningful https://jobeax.com/link/PqyaquKaGIaZQeGj consultants use emerging technologies and best practices to help clients become more data driven across a range of industries. Recent projects include building a customer data platform for a leading Airline, an IoT based real-time driver safety dashboard ...

... documentation for data enablement & quality processes. - Liaise closely with Labcorp Data Insight colleagues to ensure feedback loops are in place around any data issues. - Assist in the development and implementation of Data Quality initiatives, including data quality checks, data cleaning, data enrichment, and normalization ...

Must-Have Skills :- 9+ years of relevant experience in Data Engineering and project delivery.- Strong expertise in Big Data concepts and cloud implementation projects.- Proficient in Snowflake, SQL, and AWS services (Glue, EMR, S3, Aurora, RDS, AWS architecture).- Excellent hands-on experience with Python, PySpark, and ...

• Hybrid

... episodic and long-term memory across AI systems.- Permission-aware retrieval with tenant isolation, document-level security, compliance controls, and audit trails.- Data flywheel architecture transforming production data into training and evaluation assets for future LLM and SLM https://jobeax.com/link/uW4ozJESYI73KG83 Skills ...

• Remote
• Hybrid
• On-site

90k - 95k

... than 90,000 colleagues in 130 countries, Marsh helps build the confidence to thrive through the power of perspective. com , or follow us on LinkedIn and X About Data and Analytics (DNA) Practice At Oliver Wyman Data and Analytics, we partner with clients to solve tough strategic business challenges with the power of analytics, ...

... and more chances to do meaningful https://jobeax.com/link/PqyaquKaGIaZQeGj consultants use emerging technologies and best practices to help clients become more data driven across a range of industries. Recent projects include building a customer data platform for a leading Airline, an IoT based real-time driver safety dashboard ...

• Hybrid
• Full-time
• Part-time

... all data products align with enterprise data platform strategy (Lakehouse, AWS/GCP) Collaborate with architecture teams to ensure Scalability and performance, Data quality, lineage, and governance compliance. Promote data reuse and asset standardization across use cases and drive adoption of best practices in data modeling ...

Senior Lead Data Engineer

2500

... storage. Build and maintain medical imaging data repositories, ensuring seamless access, query optimization, and compliance with healthcare regulations. Implement data processing workflows for clinical imaging data (CT, MRI) to extract, standardize, and structure metadata. Develop scalable solutions for medical imaging data ...

• Contract

... and improve data quality. Monitor pipeline reliability, data availability and performance. What we're looking for - 5+ years of experience in Data Engineering, Data Operations or a related field. - Strong experience with GCP and Azure data platforms. - Hands-on experience in data pipelines, ETL, databases and data warehousing. ...

... secure and high performance data platforms and architectures Lead the development of batch and real time data processing solutions using modern cloud and big data technologies Define data engineering standards best practices and governance frameworks Drive architectural decisions for data lakes lakehouses data warehouses ...

• Remote
• Full-time
• Contract

... Maintain organized digital records while safeguarding confidential customer, payment, and financial information. Support the Controller and Accounting team with data reviews, record corrections, reporting, and general administrative duties as needed. Previous experience in data entry, order processing, administrative support, ...

... the enterprise data lake, ensuring seamless flow and quality. Enhance cloud data infrastructure on AWS or Azure for scalability and performance. Utilize big data tools and frameworks to optimize data acquisition and preparation. Build architectures to move data to/from data lakes and data warehouses for advanced analytics. ...

Senior Tech Specialist, Applications & Platforms

... and efficient data pipelines, data models, and data integration processes Collaborate with crossfunctional teams to understand data requirements and deliver data solutions that meet business needs Ensure data quality and integrity by implementing data validation and cleansing processes Optimize data engineering processes ...