2,428 data verification jobs in India.

... Partner with business stakeholders, product managers, and engineering teams to understand business use cases and constraints.- Design and document end-to-end data, aligned with enterprise standards for :1. Data mesh and domain-oriented data products2. DataOps, MLOps, and emerging AgentOps practices3. AI-aligned data patterns ...

... clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity ...

... impact- Interface with foundry to resolve design rule clarifications and obtain waiver approvals- Mentor verification engineers on debugging techniques and verification best practices- Develop verification automation and flow improvements to enhance productivity- Conduct verification correlation studies and drive signoff ...

... data processing solutions using frameworks such as Apache Beam (Data Flow) and Kafka. Work with GCP services like BigQuery, Dataflow, and Spanner to optimize data pipelines and workflows. Design and model data structures for efficient data storage and retrieval. Oversee ETL processes to ensure seamless data extraction, ...

... https://jobeax.com/link/0a2QmNkVhUZFALjk Candidate will have :- Experience with Agentic AI, Generative AI, LLMs, and prompt engineering.- Experience with big data technology stack (Hadoop, Spark, HDFS, EMR, Glue).- Experience with AWS, Azure or GCP.- Experience with Databricks/SageMaker/DataRobot, MLFlow or other ML and ...

... and forecasting solutions. Perform data cleaning, preprocessing, and feature engineering. Build and optimize data pipelines using Python and SQL. Analyze large datasets to identify trends and business insights. Support model deployment, testing, and performance monitoring. Create dashboards, reports, and data visualizations. ...

... learning and statistical modeling to improve decision-making and automate business processes. Data, Tools & Technical Leadership - Prepare and analyze large datasets using cloud platforms such as AWS and Snowflake. - Use SQL, Python, Jupyter Notebooks, Looker, and related tools to analyze data and generate insights. - ...

... support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. If you would like more information about how your data is processed, please contact us.

Data Scientist – Snowflake + Agentic AI / Cortex AI

... compliance. Database & Data Platform Support - Support Oracle databases and enterprise SQL environments. - Perform performance analysis, query optimization, database monitoring, and troubleshooting. - Coordinate with application and data engineering teams during releases and migrations. Middleware & File Transfer Services ...

... areas of accountability/responsibility: -Execute tests in accordance with ENVALIOR EP procedures and other relevant test standards. -Reporting the abnormal test data/condition of equipment -Maintain and manage documentation related to IRTC activities. -Conducted tests as per LIMS and archive data in LIMS. -Operate, maintain, ...

... knowledge of Fannie Mae DU and/or Freddie Mac LP guidelines. - Strong understanding of: - Borrower credit assessment - Income calculation and analysis - Asset verification - Employment verification - Property/collateral assessment - DTI/LTV/CLTV - AUS findings - Manual underwriting - AUS overrides - Compensating factors - Underwriting ...

... support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. If you would like more information about how your data is processed, please contact us.

... Experience Project Engineer Minimum 02 years of relevant post- qualification industrial work experience Experience in IT Infrastructure Projects/ IP Networking / Data Centre Projects / CCTV Projects/ Sensors based IOT Projects / any IP enabled electronic / Software product installation, configuration, maintenance or Product ...

... projects. - Experience working within complex organizational settings (e.g., PMO, geographic dispersion, etc.). - Experience with colocation and large-scale data center operations. - Experience with operations third-party colocation environments, including familiarity with supply chain and logistics concepts. - Strong ...

... global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm. Role: Senior Data Analyst Experience: 5+ Years Skill Set: Data Analysis, SQL and Cloud (AWS, Azure, GCP) Bachelors degree in Computer Science, MIS, or related fields. - 6-7 years ...

... Product Managers to define product vision, success metrics, and feature priorities. - Track product performance, adoption, user behavior, and key product KPIs. Data Strategy & Insights :- Oversee data initiatives across datasets, data quality, structuring, and delivery. - Develop frameworks for data enrichment, classification, ...

... daysMandatory Skills : - Python- PySpark- SQL- Oracle EBS- Databricks / Azure Data Factory (ADF)Key Responsibilities : - Design and develop scalable data pipelines using Databricks and PySpark.- Develop and optimize complex SQL queries and data processing workflows.- Work with Oracle EBS data structures and support data integration ...

... end-to-end scheduled and event-driven data workflows using AWS Step Functions and AWS Glue Workflows.4. Data Warehousing & Operational Databases : - Enterprise Data Warehousing : Own the architecture, data modeling, and performance tuning in Snowflake to support downstream BI, connected-fleet dashboards, and data science ...

... and translate them into technical data solutions. Ensure data integrity, security, and governance across multiple data sources. Optimize query performance and database architecture for efficiency and scalability. Lead troubleshooting and debugging efforts for data-related issues. Document data workflows, architectures, and ...