2,474 data verification jobs in India.

... Collaborate with stakeholders and engineering teams- Communicate analytical insights to non-technical audiencesRequired Skills :- 6 - 10 years of experience in data science / optimization- Strong experience in Python and Gurobi- Hands-on experience with linear optimization- Experience working with large datasets- Familiarity ...

... the implementation of the People Strategy for the function, ensuring alignment with organizational goals and objectives. Utilize People analytics to analyze data trends, identify opportunities, and measure the effectiveness of HR programs and initiatives. Provide insights and recommendations to drive continuous improvement ...

... modeling, data management, SQL, and data governance tools.- Conduct root cause analysis for data defects and support resolution efforts.- Develop and maintain data quality standards, policies, and procedures.- Collaborate with business stakeholders to define data requirements and metadata.- Support data lineage tracking ...

... scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good. Your impact A Senior Architect – Data Centre is responsible for leading architectural design and execution across all project phases, from concept to construction. The role involves expertise in space ...

... years of experience. Expert in Redshift administration and AWS services like EC2,IAM ,CLoudwatch ,VPC. Manage and support 24x7 production as well as development databases to ensure maximum availability for various applications. Perform DBA related tasks in key areas of Cluster resizing ,Snapshot ,backup,restore object from ...

... Data Platform & Orchestration is seeking a Lead Data Engineer to design and build next-generation, cloud-native data platforms supporting Mastercard's global data ecosystem. In this role, you will lead the development of scalable batch and real-time data pipelines, enabling efficient data processing across Data Lakes and ...

... senior leader in the data engineering team, you will set the standards for best practices and will be a mentor to other data engineers. Define and lead enterprise data architecture strategy with strong focus on Azure-based modern data platforms and Lakehouse architecture. Architect, design, and optimize scalable Data Warehouse ...

... time, detect data or concept drift, and provide timely, actionable feedback for retraining or recalibration as needed. - analyze and interpret large, complex datasets from distributed databases to generate and provide valuable actionable insights to stakeholders using big data technologies like scala-spark/pyspark. - drive ...

Key Responsibilities: Dynamics 365 Customization: Modify forms, views, and dashboards to align with business needs. Data & Table Management: Create and maintain tables, fields, and relationships within D365. Workflow Automation: Design flows and business rules using Power Automate and D365 tools. Testing & QA: Ensure all ...

... and maintain high-throughput, low latency systems that process 100s of millions of events per day to enable detection to identify notable events. - Establish data pipelines that ensure our data is updated regularly and reliably - Enhance our frameworks to allow us to make changes to our APIs and datasets in an agile manner ...

... customers. As a Data Scientist at Amazon Prime Video APAC and ANZ analytics team, you will have the opportunity to work on one of the world's largest consumer data sets, influence the long term evolution of our analytics capability and support the expansion of Amazon's digital video business. The Data Scientist will work ...

... EMR, and other AWS services.- Develop PySpark-based data processing applications for large-scale distributed data workloads.- Write optimized SQL queries for data transformation, analysis, and reporting requirements.- Implement data ingestion frameworks to process data from databases, APIs, files, applications, and other ...

... from large, complex datasets. You will collaborate with data architects, analysts, and business stakeholders to deliver scalable, secure, and high-performance data https://jobeax.com/link/XnflZD2dGSZYgXFG Responsibilities :- Design and develop end-to-end data pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2, ...

... ETL Tool ONLY amongst Talend Datastage Informatica ISS Cloud version Data Fusion Data Flow Data Proc Mandatory SQL PLSQL Scripting Experience Expert in Python Data Flow Pubsub Big Query CICD Must have good Experienceknowledge on GCP components like GCS BigQuery AirFlow Cloud SQL PubSubKafka DataFlow and Google Cloud SDK ...

... to have) Version control: Git / GitHub Cloud exposure: AWS, Azure, or GCP Data platforms: Snowflake / BigQuery / Redshift (preferred) Understanding of ETL and data pipelines Business & Domain Exposure: Ability to convert business problems into data-driven solutions Experience working with large, real-world datasets Strong ...

... in regulated industries (Pharma, Life Sciences, Banking). Design, build, and maintain scalable data pipelines supporting AI and GenAI use cases Work on modern data platforms (data lakes, lakehouse, streaming, Event hub like Kafka, containers, K8s) Enable high-quality, compliant data for analytics, ML, and GenAI workloads ...

... & Cloud Data Platforms • Data Architecture & Modelling • Collaboration & Best Practices • Quality & Governance Business Relationships • Solution Architects • Data Engineers, Developers, and Analysts • Client stakeholders up to Head of Data Engineering, Data Architect, and BI leadership levels Competencies / Critical Skills ...

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Amazon Web ...

... development, tools, and procedures; Provide end-user support including setup, installation, and maintenance for applications. Bachelor's Degree in Computer Science, Data Science, or a related field; Internship experience in Data or Software Engineering; Knowledge of developing dimensional data models and awareness of the advantages ...

... environments. Database Advanced SQL Server expertise. Query tuning and performance optimization. Data modeling (star schema, dimensional modeling). Cloud and modern data platforms Azure Data Factory, Fabric, Synapse, Databricks, or similar platforms. Experience with modern data lake and warehouse architectures. Data orchestration ...