1,998 computer home data entry jobs in Pune, India.

... complex engineering deliverables. Performs research and develops recommendations for equipment and/or materials selection. Collects, assimilates, and manages data for engineering work. Prepares increasingly complex engineering calculations following standard methods and principles. Understands and adheres to budget, schedule, ...

... in SQL Server 2016+, including advanced T - SQL, query performance tuning, partitioning, and database security.- Proven experience in conceptual and logical data modelling, master data management, data ownership, and enterprise data architecture.- Strong experience with Azure data services, particularly Azure SQL Database ...

... perspective gives us a competitive advantage. Position: Data Engineer Location: Pune, Maharashtra Job Description The Data semantic solution team is looking for a Big Data Engineer to drive our mission to unlock potential of data assets by consistently innovating, eliminating friction in how users access data from its Big Data repositories ...

Document & Engineering Data Analyst Summary We are seeking a skilled Document & Engineering Data Analyst to manage and optimize the lifecycle of critical engineering information within our IT Services division. In this pivotal role, you will ensure the accuracy, integrity, and accessibility of complex technical documentation ...

... correctly. Assist in troubleshooting by identifying root causes even when issues are not directly data-related. Interpret incoming requests and determine which master data objects require updates (vendors customers materials contracts info records source lists etc.). Choose the most effective data entry method (manual entry vs. ...

... closely with the AI CX Lead to prioritise shape and execute against the AI customer experience roadmap. Data Extraction & Engineering: - Extract and maintain datasets from Zendesk and related systems - Build and optimise data pipelines into reporting and collaboration tools - Ensure data quality structure and accessibility ...

... scalable data pipelines using AWS Databricks PySpark Python and SQL. - Build robust ETL/ELT solutions to ingest transform and load structured and unstructured data from diverse source systems. - Develop and optimize large-scale data processing workflows using PySpark and Databricks. - Create and maintain data models curated ...

... the systems processes and tools that support workforce analytics and reporting. As a People Data & Insights Engineer you will help build maintain and improve data integrations reporting solutions and automation processes that enable the People function to make data-driven decisions. Working closely with the Director of ...

... location • Handle employee master data changes in SAP HCM & EC • Perform reconciliations and resolve discrepancies • Conduct Root Cause Analysis for recurring data issues • Prepare and publish MIS reports and dashboards • Ensure adherence to data governance, SOX and audit requirements • Support stakeholders and participate ...

... perform data transformation and processing.- Develop scalable data solutions using Python, SQL, and PySpark.- Build and support AIP-based solutions using Foundry data and Ontology.- Perform data validation, quality checks, and troubleshooting of data pipelines.- Collaborate with data engineers, business teams, and other stakeholders ...

... appropriate technical designs and data architectures.- Ensure data quality, consistency, reliability, and accuracy across data pipelines and datasets.- Troubleshoot data pipeline issues, optimize performance, and implement best practices for scalable data processing.- Collaborate with business stakeholders, data analysts, and ...

... acceptance. 4. Analyze, Validate & Work with Data - Write SQL queries to extract, join, compare, and validate data across different sources. - Use Excel for data analysis, reconciliation, and identifying inconsistencies. - Investigate data quality issues, mismatches, and business rule discrepancies. - Work with data engineers ...

Senior Data Engineer []

Responsibilities - Develop and enhance application systems and programs using application development procedures, programming concepts, and script tools. - Analyze and interpret code to identify system enhancements, vulnerabilities, and security issues.

... dimensional data modelling, reporting-ready data structures, semantic layers and enterprise reporting architecture. - Experience with data integration, reconciliation, data quality, performance tuning and cloud cost optimization. - Proven experience delivering enterprise-scale reporting, cloud data platform or modernization initiatives. ...

The Clinical Data Coder is primarily responsible for providing support to activities related to coding of Clinical data for ongoing clinical studies. The Clinical Data Coder will also participate in various clinical data management activities required to ensure that data captured are collected, managed and reported clearly, ...

... Glue).- Understanding of Kubernetes, Docker, or containerized https://jobeax.com/link/TcYMIwwXyQaLOZSp Qualifications : - Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field. (ref:hirist.tech) [{"name": "immediate_start", "text": "Immediate start", "categoryName": "Working conditions"}]

... datasets in distributed computing environments. 4. AWS & Databricks - Hands-on experience with AWS cloud-based data engineering solutions. - Experience working with Databricks for large-scale data processing and transformation. - Understanding of cloud-based data platforms, data lakes, and modern data architectures. - Exposure ...

Lead Data Platform EngineerLocation : Pune / Chennai (Hybrid)We are looking for an experienced Lead Data Platform Engineer to drive the architecture, modernization, and evolution of enterprise-scale data platforms. This role will own key technical decisions, build scalable cloud-first data solutions, mentor senior engineers, ...

... practical implementation guidance. - Strong data-platform engineering experience across both on-premise and cloud environments, including ingestion, transformation, data quality, reconciliation, metadata, lineage, effective-dated data, and governed publication of trusted datasets. - Hands-on GCP data-platform experience with BigQuery, ...