2,534 office data entry jobs in India.

... region. The PR and Social Marketing Coordinator will support Forrester's global PR and social team in executing impactful communications initiatives. In this entry-level role, the successful candidate will contribute to the day-to-day operations of the team, manage daily admin tasks, assist in the coordination and delivery ...

Actively hiring Data Entry Specialist Start Date Starts  Immediately CTC (ANNUAL) ₹ 6,50,000 ₹ 6,50,000 /year Experience... Remote job Part time Immediate start Work from home

... finance function. Financial Accounting & Reporting: Execute the end-to-end month-end closing process for the Box of Books ledger, ensuring timely and accurate entry of all financial data. Deliver accurate monthly results in accordance with Australian Accounting Standards (AASB) and ensure the integrity of reporting processes ...

... supplies inventory and procurement, ensuring availability of necessary items for day-to-day operations. 6. Support the management team with various tasks, including data entry, filing, and organizing documents. 7. Ensure compliance with company policies and procedures, maintaining confidentiality and upholding professional standards ...

... Coordinate with clients for collection of required details and documents. > Support in filling and submitting forms on various government portals. > Perform data entry and maintain accurate records in company systems. > Assist in preparation, verification, and processing of operational documents. > Follow up with clients ...

... Senior Data Engineer You will play a pivotal role in driving business outcomes through effective data management and analysis. Enhancing Decision Making with Data Ensuring Data Security and Compliance Future Trends in Data Engineering Design and develop highly reliable and scalable data pipelines and data platforms with ...

... resolve risk, conduct and compliance matters. Skills And Experience Data Engineering SQL Unix Scripting Devops Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field. 10+ years of experience in data engineering Strong proficiency in Python, Python-spark, shell scripting and SQL, with ...

... computation so models can be retrained quickly and reliably. Collaborate with data engineers to implement scalable pipelines on Azure (Data Factory, Data Lake, Databricks) and deploy models via CI/CD processes (e.g. using Azure DevOps or similar tools). Ensure solutions adhere to secure coding practices and data governance ...

... implementing batch and real-time data pipelines , data migration solutions, and scalable data-layer architectures across the GCP ecosystem is highly desirable. Data Warehouse & Data Modeling Strong understanding of: Data Warehouse Architecture Data Lake vs. Data Warehouse Star Schema Snowflake Schema Fact & Dimension Modeling ...

... Artificial Intelligence, Applied Mathematics, Statistics or equivalent. Minimum required Experience: Minimum 10 years of experience with Bachelor's in areas such as Data Handling, Data Analytics, AI Modeling or equivalent OR no prior experience required with Master's Degree. For our office-based teams, this means working in-person ...

... redefine the future of how work gets done. Senior Data Engineer At Snowflake, we are building the future of the data-driven enterprise. We are looking for a Senior Data Engineer who brings deep technical craft, strong ownership instincts, and the ability to operate across the full data lifecycle — from raw ingestion to production-ready ...

... experience in Data engineering. Pyspark with GCP and AWS,Snowflake and Data bricks are required skills. Working with data excites you; You can build and operate data pipelines, and maintain data storage, all within distributed systems. You have hands-on experience of data modeling and modern data engineering tools and platforms. ...

Role: Senior Data Scientist Responsible for designing, developing, testing and deploying ML models that can leverage multiple signal sources, to build a personalized user experience Work closely with the business stakeholders to identify the potential Data science applications Contribute by doing opportunity analysis, building ...

... secure and high performance data platforms and architectures Lead the development of batch and real time data processing solutions using modern cloud and big data technologies Define data engineering standards best practices and governance frameworks Drive architectural decisions for data lakes lakehouses data warehouses ...

... the enterprise data lake, ensuring seamless flow and quality. Enhance cloud data infrastructure on AWS or Azure for scalability and performance. Utilize big data tools and frameworks to optimize data acquisition and preparation. Build architectures to move data to/from data lakes and data warehouses for advanced analytics. ...

... and processing - Experience with big data and real-time processing technologies, including Apache Spark, Hadoop, Kafka, and Amazon Kinesis - Experience with data modelling and database design across Structured Query Language and NoSQL platforms - Understanding of data governance, data quality, and security best practices ...

... huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long-term view on architecture of advanced data eco systems. You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to ...

... seasoned Senior Data Scientist with e-commerce expertise to join our dynamic team. Must-Have Skills: Machine Learning Algorithms, Python or R Programming, Big Data Technologies (Hadoop, Spark, or equivalent), Data Visualization Tools (Tableau, Power BI, or similar), SQL and Data Modeling Expertise. Data Analysis & Insights ...

This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever ...

... scalable data processing solutions using Big Data technologies and distributed system s Strong hands-on experience with Python and PySpar k for developing efficient data pipelines and applications Develop and optimize complex SQL querie s, data models, and database solutions Analyze and improve performance of Apache Spark workload ...