2,041 data operator jobs in India.

... Control Unit (TCU) and the time-series data it generates. - Data Landscape Analysis: Evaluate data adequacy and establish a comprehensive understanding of the data landscape. - Data Preparation: Clean and prepare datasets for modeling. Engage in ETL processes and apply data transformation techniques such as resampling, filtering, ...

... of the data engineering team and working on in-house products in for Data Foundation Collaborating closely with Data Engineering Leads and managers and other DataOps teams. This role involves hands-on development work and will directly report to Data Engineering Lead. Must have skills: Azure Databricks, Unity Catalog, Delta ...

... exposure to DevOps, automation, and Agile delivery https://jobeax.com/link/TtkK7BHPbancvnFq Responsibilities : - Administer, monitor, and troubleshoot MS SQL Server databases and Windows environments.- Perform database maintenance, backup/recovery, performance tuning, and production support.- Troubleshoot complex database, application, ...

... design solutions leveraging GCP services. Data Pipeline Design & Development: Build and manage scalable data pipelines using tools such as Apache Beam, Cloud Dataflow, and Cloud Composer. Data Warehousing & Lake Solutions: Architect, implement, and optimize BigQuery based data lakes and warehouses. Real Time Data Processing: ...

... Devices organization to ingest relevant datasets into the Alexa Smart Home BI data-warehouse. - Collaborate with other peer data engineers to build self-service data platforms that possess key capabilities like data discovery, data lineage, proactive data monitoring and security/compliance monitoring. - Manage data infrastructure, ...

... will partner closely with divisional and functional Data Management Offices (DMOs), business leaders, and IT teams to drive execution of a broad portfolio of data initiatives spanning data strategy, data governance, data quality, data stewardship, data architecture, and data integration . The Data Program Manager will be ...

... for the enterprise data platform, collaborating closely with HQ architects and engineering leads.- Lead the design, development, and maintenance of scalable data platforms using Databricks, Data Lake, Data Factory, and Data Warehouse.- Defining and implementing integration patterns across ingestion, transformation, and ...

... structured and unstructured data.- Optimize Spark jobs, queries, clusters, and data pipelines for performance and cost.- Integrate Databricks with cloud storage, databases, APIs, and enterprise data platforms.- Implement data quality, validation, reconciliation, and monitoring processes.- Work with data architects and data ...

... 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. ...

... troubleshoot, and resolve data pipeline failures to ensure data availability and reliability within defined SLAs. Collaborate with Business Intelligence Engineers, Data Scientists, and business stakeholders to understand data requirements and deliver fit-for-purpose data solutions. Implement data quality checks, validations, ...

... optimize ETL/ELT pipelines for large-volume datasets. Work with business and technical teams to understand data requirements and deliver robust solutions. Perform data modeling, data validation, and performance optimization. Monitor and troubleshoot data pipelines and resolve production issues. Implement data quality, security, ...

... 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. ...

... for the enterprise data platform, collaborating closely with HQ architects and engineering leads.- Lead the design, development, and maintenance of scalable data platforms using Databricks, Data Lake, Data Factory, and Data Warehouse.- Defining and implementing integration patterns across ingestion, transformation, and ...

... Degree in a quantitative field (e.g., Engineering, Mathematics, Finance, Computer Science, Statistics, Economics). - 0-2 years of professional experience in Data Science and Analytics. - Strong proficiency in SQL and working with large datasets; experience with Python or similar analytical tools. - Experience with modeling ...

... depending on experience. Full-time, permanent post Clarksons Research , the data and analytics arm of Clarksons, are market leaders in the provision of independent data, intelligence and analysis around shipping, trade, offshore and maritime energy transition. Millions of data points are processed and analysed each day to provide ...

... excellence, and delivering complex enterprise solutions Conduent is seeking a Senior AI Solutions Engineer / Technical Lead with strong cloud, application development, data, analytics, and Generative AI expertise to join our Analytics & Data Science https://jobeax.com/link/0c14UeRcOwA5jiTP role serves as the senior developer for ...

... Vertex AI for training, tuning, and scaling models. Data & Experimentation - - Work with large-scale, real-time datasets to derive actionable insights and build data pipelines for ML training and evaluation. - Design and run experiments (A/B testing, uplift modeling, etc.) Work with large-scale datasets, ensuring data quality ...

... large-scale data processing and integration.- Develop automation and data processing scripts using Python or Scala.- Work with structured and semi-structured data from multiple data sources.- Implement and support data orchestration, data quality, and data governance processes.- Integrate streaming data sources and technologies ...

... evaluation and access-control scenarios by executing and analyzing API requests and responses.- Working knowledge of modern data and analytics platforms, including Databricks, Snowflake, and Azure Synapse Analytics.- Familiarity with data platform architectures, as a significant portion of client applications and data solutions ...

... large-scale data processing and integration.- Develop automation and data processing scripts using Python or Scala.- Work with structured and semi-structured data from multiple data sources.- Implement and support data orchestration, data quality, and data governance processes.- Integrate streaming data sources and technologies ...