2,101 backend data entry jobs in India.

... Python DeveloperExperience : 7 to 10 YearsLocation : PAN IndiaAbout the Role : We are looking for a highly skilled Python Developer with strong experience in backend application development and cloud platforms. The candidate should have hands-on expertise in Python, FastAPI, and GCP/AWS and be capable of designing, developing, ...

... 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. ...

... 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 ...

... deployment and support. Adept at working in Agile environments and collaborating with cross-functional teams. Brings strong expertise in cloud platforms, big data technologies, and data integration tools, with a keen interest in the healthcare domain and emerging AI accelerators. Role: Senior Data Engineer Location: All ...

... scalability, standardization, and simplification.- Establish and maintain data modeling standards, naming conventions, documentation, and best practices.- Support database design, data integration, ETL/ELT processes, and data warehouse development.- Perform data analysis and validation to ensure data quality, consistency, integrity, ...

... understanding of GCP data services: Expertise in using GCP services such as Cloud Dataflow, Cloud Dataproc, BigQuery, Cloud Storage, Data Catalog, and Data Fusion. ● Data modeling and architecture: Proven experience designing and implementing data models, including dimensional modeling and data warehousing principles. ● Data warehousing ...

... 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. ...

... 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 ...

... 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, ...

... 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 ...

... Design and implement scalable backend services to support high-concurrency applications and improve overall system throughput.- Optimize existing algorithms and data structures to reduce latency and enhance the efficiency of data-intensive processes.- Collaborate with the architecture team to design modular, maintainable system ...

... Kubernetes- CI/CD (Jenkins, GitLab CI, GitHub Actions)- Kafka / RabbitMQ (Preferred)- OpenTelemetry, Prometheus, Grafana, ELK (Good to Have)- Design Patterns, Data Structures & Algorithms- Production Support & Performance OptimizationJob Responsibilities : - Design, develop, and deploy scalable Python backend services and ...

... Kubernetes architecture and Docker best practices for production workloads. Programming & Data: Expert proficiency in SQL and Python is required for complex data manipulation and SDK integration. Streaming & Scalability: Experience handling large-scale, real-time datasets. Familiarity with Apache Flink and event-driven ...

... 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. ...

... 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. ...

... 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 ...

... 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 ...

... 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 ...

... 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, ...