2,148 offline data typing jobs in India.

... in driving value for our customers by building data solutions. You'll be carrying out data engineering tasks to build, maintain, test and optimise a scalable data architecture, as well as carrying out data extractions, transforming data to make it usable to data analysts and scientists, and loading data into data platforms. ...

... many founders of their own companies. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of ...

... database maintenance: user management, tablespace/datafile growth forecasting, schema management, and security auditing.- Execute Release Update (RU) patching and database upgrades on Windows environments with minimal operational downtime.- Execute database migrations, refreshes, and Data Pump (EXPDP/IMPDP) exports/imports across ...

... unstructured data for downstream analytics.- Develop and optimize ETL processes to ensure high data quality, consistency, and availability across the enterprise data warehouse.- Manage real-time data streaming architectures using Confluent Kafka to support low-latency data consumption and event-driven applications.- Collaborate ...

... positive business impact. The Data Associate must have a passion for data, efficiency, and accuracy and will work under the direction of Operations manager and Sr. Data Associates. Specifically, the Data Associate will: - Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment - Deliver ...

... Protocols IGMP, PIM-SM, PIM-SSM, MSDP.- Strong System Programming with C language and Debugging skills for the Switching and Routing products.- Experience in Datapath or DPDK or FastPath, SDK Development or Control Plane or Data Plane or Forwarding Plane is plus.- Experience of design, development and Testing of Aggregation ...

Our Search datascience team is building a world class search system for Walmart e-comm customers. We use cutting edge machine learning, data mining and optimization algorithms to ingest, model, and analyze Walmart's proprietary online and in-store data, encompassing 95% of American households. Importantly, we build smart ...

... unstructured data for downstream analytics.- Develop and optimize ETL processes to ensure high data quality, consistency, and availability across the enterprise data warehouse.- Manage real-time data streaming architectures using Confluent Kafka to support low-latency data consumption and event-driven applications.- Collaborate ...

... engineers, domain experts, product teams, and business stakeholders to identify high-valuemachine learning opportunities. Translate industrial challenges into data science problems and deliver practical, scalable solutions. Build robust data pipelines, feature engineering workflows, and model evaluation frameworks. Monitor ...

... snowflake schemas), normalized databases, and data warehouse structures. Collaborate with business stakeholders, data architects, and development teams to define data entities, relationships, business rules, and data standards. Develop and maintain data dictionaries, metadata repositories, lineage documentation, and data mapping ...

... 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. ...

... Being Successful in This Role Minimum 5 years of experience in software development and system design Minimum 2 years of experience as a Data Engineer focused on data modelling, governance, and platform administration. Expertise in Snowflake or similar MPP databases. Strong SQL skills. Experience with multiple database technologies ...

... experience with modern data stack tools (dbt, Looker, etc.) • Machine learning infrastructure and MLOps architecture expertise • Contributions to open-source data infrastructure projects • Published technical articles, conference talks, or thought leadership in data platforms • Expert knowledge of data privacy frameworks ...

... requirements, understand data needs, and translate them into technical solutions. Design and implement data CI/CD pipelines to enable automated and efficient data integration, transformation, and deployment processes. Monitor and troubleshoot data pipelines, proactively identifying and resolving issues related to data ingestion, ...

... developing and maintaining data pipelines writes clean, efficient, and testable code. Data Engineering: Experience with data pipelines, ingestion processes, SQL, and data modeling. AWS: Hands-on with AWS services such as IAM, S3, Glue, Lambda, RDS, Firehose, EventBridge, and CloudWatch understands distributed data systems. CI/CD: ...

... 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. ...

... our data privacy program. As an Associate Manager - Data Privacy, you will help drive privacy initiatives and ensure organizational compliance with applicable data protection regulations, including India’s Digital Personal Data Protection Act (DPDPA). The ideal candidate will have a strong understanding of data privacy laws, ...

... 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 ...

... 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, ...

... 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: ...