128 data entry jobs in India, India.

... 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 ...

... Future of Security at Netskope Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and ...

... Collaborate with Smart Manufacturing Strategy Leads to align data science efforts with business goals across Micron sites. Provide mentorship and coaching to data scientists and engineers to nurture their technical skills. Perform exploratory data analysis and feature engineering on structured and unstructured data. Fluency ...

... knowledge of Ontology, Pipeline Builder, Code Repositories, Workshop, Quiver, and Data Connections . - Proficiency in Python, PySpark, and SQL . - Experience in data pipelines, ETL/ELT, transformations, and data quality. - Experience integrating Foundry with cloud platforms, APIs, and databases . - Knowledge of React/TypeScript ...

... candidates via LinkedIn, all applications must be submitted through our official website ( https://jobeax.com/link/1iJyEIRqk07JrVCp build systems that run on data, and that data has to be ingested, transformed, and validated before anything downstream can trust it. As a Data Engineer, you build the ingestion and transformation ...

... solution designs and ensure data science insights translate into robust, production-ready systems. - The Alexa Smart Home Decision Sciences team provides the data and analytical foundation that powers insights across our rapidly growing smart home ecosystem. We work with data from millions of connected devices, customer ...

... and manage S3-based data lake architecture for raw data storage, ingestion, and processing. Support SQS-based asynchronous workflows for report generation and data-processing queues. Monitor data pipeline health and proactively troubleshoot issues affecting data accuracy, reliability, or freshness. Implement data quality ...

... In this regards, the LIQ PBR data analyst will work with Liquidity SMEs to document BDEs that require to be traced from upstream sources, liaise with upstream data source RTB teams to develop a data flow architecture for the movement of data, further request sample transactional and other data to test the data per test cases ...

... improve team's data architecture, making it better and easier to maintain (e.g., data auditing solutions, automating, ad-hoc or manual operation steps) Owns the data quality of important datasets and any new changes/enhancements 1+ years of data engineering experience - Experience with data modeling, warehousing and building ...

... translate them into robust data solutions.- Architect data pipelines that ensure data quality, integrity, and consistency across multiple systems.- Optimize data models for performance, scalability, and re usability in analytical workloads (Snowflake, Redshift, BigQuery, etc.).- Oversee data lineage, metadata management, ...

... investment, and accounting data in Databricks- Work closely with the investment management team to understand data structures and business requirements, ensuring data accuracy and quality.- Monitor and troubleshoot data pipelines, ensuring high availability and reliability of data systems.- Optimize database performance by ...

... looking for a Senior Data Scientist as we support our partner in developing a Global Analytics Unit—a global, centralized team with the ambition to strengthen data-driven decision-making and the development of smart data products for day-to-day operations. The team is designed to foster a data-driven entrepreneurial culture ...

... architecture, data architecture, platform engineering, or closely related technology roles. - Strong experience designing modern data platforms, preferably using Databricks, Delta Lake, and Unity Catalog . - Solid understanding of lakehouse architecture, data governance, metadata management, data products, and semantic modeling. ...

We are seeking a highly skilled Senior Data Engineer to architect, build, secure, and optimize end-to-end data pipelines and enterprise-grade data platforms. The ideal candidate brings deep expertise in Python, Snowflake, modern cloud ecosystems, data warehousing design, and DevSecOps-led automation. You will mentor junior ...

The ideal candidate should possess experience with ETL, data and reporting; and contributing code to deliver new features and functionality. Day-to-day you will collaborate with engineers, product managers, designers, marketing, operations, and customer experience teams. This role is integral to our client's team which ...

... Data Governance & Processing : Implement data versioning, incremental processing, and ensure high data quality, consistency, and governance standards.- Azure Data Platform : Utilize Azure services such as Data Factory, Data Lake Storage, Synapse Analytics, and Key Vault to build secure, scalable data solutions.- Application ...

... implement Generative AI models to solve business challenges. Perform data preprocessing, exploratory data analysis (EDA), and feature engineering (FE) to prepare data for modeling and optimization. Write efficient and scalable code in Python, R, and SQL to manage and manipulate data. Collaborate with cross-functional teams ...

... Business Intelligence team builds on top of a data platform that has to be there every morning - healthy, current, and trusted. Making that happen takes a core data engineer who owns the operational reliability of our platform end-to-end. This is a core data engineering role. You own the operational health of our data platform, ...

... https://jobeax.com/link/D4GLjfywL6FEvFfU role is part of a client-facing cybersecurity/data protection function, where the selected professional will work closely with security teams, data owners, platform owners, and other stakeholders to implement and optimize enterprise-grade Netskope Data Loss Prevention (DLP) https://jobeax.com/link/ogW4mNXlWSCaUHh0 ...

... pipelines using Dataflows Gen2.3. AI-Enabled App & Report Development (Good to have) : - Utilize Python and the Rayfin CLI to build agent-friendly, code-first data backends, analytical web apps, and embedded AI data agents directly within the Fabric ecosystem.4. Data Modeling : - Model complex enterprise semantic layers, ...