1,874 data entry mnc 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, ...

... experience with modern data technologies and thrives in a fast-paced, product-driven environment. Data Pipeline Development Design, build, and maintain scalable data pipelines for ingesting, transforming, and loading data across batch and real-time (streaming) systems. Integrate data from diverse sources while ensuring reliability, ...

... enterprise-grade applications.- Design and implement robust database solutions, including SSIS packages for ETL processes and SSAS cubes for advanced analytics, to support data-driven decision-making.- Automate routine database maintenance and deployment tasks using Python scripting and Jenkins pipelines to reduce manual overhead 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 ...

... 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 ...

Full time Part time

... 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 ...

... 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, ...

... 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 ...

... 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 ...

... configure, and maintain Oracle database systems. Monitor database performance and implement improvements as needed. Perform backup and recovery operations, ensuring data integrity and availability. Manage database security, ensuring compliance with data protection regulations. Troubleshoot and resolve database issues in a timely ...

... 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 ...

... Azure, or Google Cloud Platform (GCP) Hands-on experience with any of the CI/CD tools such as GitHub Actions CI/CD, Argo CD etc.. Experience with relational databases like PostgreSQL, MySQL, or SQL Server Proficiency in scripting and automation using tools such as NodeJS Familiarity with NoSQL solutions such as MongoDB, ...

... 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 ...

... (Engineering, Economics, Stats, Math, etc.). Strong SQL skills - should be comfortable writing complex queries (joins, window functions, CTEs) on large transactional datasets. Ability to independently pull, clean, and structure data without heavy hand-holding. Comfortable working with payment/transaction data (. (success rates, ...