Remote offline data entry Jobs, Vacancies, Employment in… - Jobeax
51 Remote offline data entry jobs in Bengaluru, India.
Search current Remote offline data entry jobs, vacancies, and employment in Bengaluru, India on Jobeax. 51 Remote offline data entry jobs in Bengaluru, India.
... LLMs, AutoGen, OCR, Databricks, PySpark, Python, Azure DevOps, and enterprise AI platforms. The role requires strong hands-on experience across SQL Server, Azure Data Factory, Azure Data Lake, Microsoft Fabric, Logic Apps,Power BI, GitHub, and Data Modeling. Required Skills: - 10+ years of Software Engineering / Data Engineering ...
... Engineering, or a related field. 7+ years of data engineering experience, including expertise in data integration, pipeline optimization, and enterprise-scale data solutions. - Databases: Oracle and PostgreSQL - ETL/ELT & Data Integration: Experience in maintaining and refactoring existing data pipelines - Data Warehousing ...
... interface performance during hypercare. Data From Process to Data Lake Data Validation & Process Improvement Support automation of CSV-Data upload by validation and data quality checks Perform data validation and cross-checks to ensure data quality and consistency Validate raw data and transform structured data to Data Model as ...
... ~ Manage budgets related to data sourcing, annotation operations, and vendor contracts. 8+ years of overall experience in GIS, remote sensing, or geospatial data operations; Strong hands-on knowledge of satellite imagery sourcing (optical, SAR, multispectral) and remote sensing data pipelines. - Proven experience managing ...
... Data Engineer will design, build, and maintain scalable data pipelines and solutions, ensuring high performance and reliability across COSMOS DB and related data platforms. Daily responsibilities include modeling and structuring data, implementing ETL processes, optimizing data storage and retrieval, and collaborating ...
Exp: 6+ years Work Mode: Hybrid (3 days work from office) or Remote can also be provided. Key Responsibilities Design, develop, and maintain robust data pipelines in Hadoop and related ecosystems, ensuring data reliability, scalability, and performance. Implement data ETL processes for batch and streaming analytics requirements. ...
Data Engineer III/ IV - IN (Operation/ Supports) Work Location - Remote Work From Home Shift: Rotation Shifts (24/7) Experience: 7-12 years The Data engineer is responsible for managing and operating upon Databricks, Dbt, SSRS, SSIS, AWS DWS, AWS APP Flow, PowerBI/Tableau. The engineer will work closely with the customer ...
... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...
... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...
... Design, develop, operationalize robust and scalable data pipelines with automated data quality checks to support business needs and demonstrate ownership of live data pipelines. Proficiency understanding and implementing data life cycles, data lineage, custom metadata, and data governance. Proficiency implementing BigQuery ...
... & SPOKE teams to independently build trusted data products aligned with the OneData https://jobeax.com/link/2Y4cCTL2qZrUlGJ5 You'll Do : - Create enterprise data models (ERDs), semantic architectures using Databricks Metric Views, and Databricks Genie solution architectures to support trusted data products, self-service ...
... and reliable data platforms, including data pipelines, storage solutions, and processing systems - Data Modelling and Management:Developing and implementing data models, ensuring data quality, and establishing data governance policies - Data Pipeline Development: Building and optimising data pipelines for ingesting, processing, ...
... a part of Database Engineering team and responsible for database administration for Postgres RDS and No-SQL database management. You will be responsible for database design, data architecture, data modeling, performance tuning and capacity planning. You will evaluate, configure, and install database management systems. ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... external business functions to ensure global master data is maintained at the highest quality level. Key Performance Measures Meeting Project Milestones Master Data Accuracy On time delivery of Data analysis to stakeholders Knowledge, Skills And Experience Data Analysis & Problem-Solving Ability to analyze large datasets, ...
... Intelligence Platform team, you will: Build out performant APIs to serve consistent data that serve as sources of truth for many systems in Abnormal. 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 ...
... test, deploy and iterate on data science solutions - Provide feedback to improve the quality of data collection to ensure adequacy, accuracy and legitimacy of data (e.g. this could involve cross-checking of different sources and validating the correlation between them) Ability to process complex data sets Ability to perform ...
... first destination for organisations seeking growth. With our guidance, our clients can make bold, strategic decisions with confidence. Overview of the role In Data Science we work with the data from fast changing consumer goods world. Data comes both from standardized databases and from online retail channels in various ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...