1,838 numerical data entry jobs in India.

About Hevo: Hevo () is a simple, intuitive, and powerful No-code Data Pipeline platform that enables companies to consolidate data from multiple software for faster analytics. Hevo powers data analytics for 2000+ data-driven companies across multiple industry verticals, including https://jobeax.com/link/nc8T843D2pw1cDRT, ...

... 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Could you be the full-time Data Migration Specialist in Bangalore we’re looking for? Your future role Take on a new challenge and apply your data migration and ERP expertise in a dynamic and ...

... events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested ...

... record (matching logic, dedup) - Design and evolve the data models and schemas that represent companies, contacts, and their relationships as we expand into new data domains - Own the sync between our warehouse, CRM, and products - Build the data quality and feedback loops that catch bad data before customers see it - Own ...

... Skills - 3–6 years of experience in data analysis, business process analysis, task mining or process mining. - Strong proficiency in SQL and Python/Pandas for data transformation and analysis (Pandas, NumPy, regex, data manipulation). - Ability to handle large data sets and work with structured and semi-structured event ...

... structures, algorithms, design concepts, and programming practices. - Data modelling for OLAP workloads, Scalability design and query optimisations - Understanding of data consistency at cloud scale, eventual consistency models - Hands on experience with Big data tools and frameworks (Datalake / Lakehouse, ETL) preferably in public ...

... Mattel’s enterprise data strategy. Lead the development of scalable, secure, and high-performing data integration pipelines for structured and semi-structured data using Google BigQuery. Design and develop scalable data integration pipelines to ingest structured and semi-structured data from enterprise systems (e.g., ERP, ...

... business logic, and data transformations across large-scale systems.- Proficiency in Python and SQL, including working with terabyte-scale datasets to identify data anomalies and logic issues.- Strong understanding of data quality automation frameworks, CI/CD pipelines, and tools like Airflow, Spark, Databricks, or Snowflake.- ...

... lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Could you be the full-time Train Reliability Data Analyst in Bangalore we’re looking for? Your future role Take on a new challenge and apply your data analysis and reliability expertise in a new cutting-edge ...

... events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. ...

...Actively hiring Data Entry Supervisor Start Date Starts  Immediately CTC (ANNUAL) ₹ 5,00,000 - 6,00,000 ₹ 5,00,000 - 6,00,000 /year...

... functionality for top-level hierarchical design and block-level implementation for complex digital IC designs. Our detail-route-centric architecture and hierarchical database enable you to accelerate design closure and achieve optimal quality of results at a driven runtime. You will be working primarily on C++ and should be able ...

... well-documented code in Python, leveraging libraries such as pandas, scikit-learn, statsmodels, and Prophet. Use SQL and PySpark to extract, transform, and analyze large datasets from cloud-based data platforms. Collaborate with data engineers and software developers to integrate models into production systems. Monitor model performance ...

... and performance assessment.- Experience working with modern cloud and data platforms, preferably Snowflake and AWS, and an understanding of scalable analytical data structures and pipelines.- Exposure to Generative AI and modern AI techniques, alongside a sound understanding of data quality, explainability, governance and ...

... Oversee AWS-based data infrastructure (S3, Redshift, Glue, EMR), ensuring reliability and performance at scale. Mentor and guide teams on advanced system design, data observability, and best practices. Drive DataOps initiatives, focusing on data quality, lineage, and governance. Lead the integration of ML platforms like SageMaker ...

AI + Data Engineer — Fully Remote Bhalekar Consulting · Applied AI & Data Engineering · Official Anthropic & Databricks Partner We're an applied-AI and data consultancy delivering production-grade AI and data platforms for clients across financial services, retail, supply chain, and the public sector. As an official Anthropic ...

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 : AWS Glue ...

... supporting the transformation of data into a structured format that can be easily analyzed in a query or report. This role is responsible for developing structured data sets that can be reused or compliment other data sets and reports. This role analyzes the data sources and data structure and designs and develops data models ...

... - Experience in legacy data technologies such as SQL Server, Oracle, traditional ETL tools, or Data Warehouse platforms. - Experience in ETL/ELT development, data ingestion, transformation, and data pipeline implementation. - Good understanding of Data Warehousing, Data Modeling, and dimensional concepts. - Ability to migrate ...

Role Purpose This incumbent should be a highly motivated Project Manager – DCBU to lead end-to-end execution of fiber-centric data center network infrastructure projects, including AI Datacenters Key Responsibilities - Manage structured cabling projects across all lifecycle phases: initiation, planning, execution, monitoring, ...