2,390 ntt data jobs in India.

... or Azure in microservices architectures.- Thrives in fast-moving startup environments with high ownership and ambiguity.- Strong Python skills with focus in data engineering and data analysis, including proficiency with data mining algorithms such as Scikit-Learn, NumPy, SciPy and Pandas.- Strong understanding of machine ...

... 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. ...

... Experience working in multicultural environments. - Proven ability to liaise with stakeholders across various hierarchical levels. - Technical expertise in: Database and SQL, including SQL scripting. - Data Warehouse (DWH) and Business Intelligence (BI) architecture. - Database front-end, reporting tools, ETL tools, and ...

What will you be doing Installing, configuring and upgrading Oracle databases. Oracle Administration including: Experience with RAC, RMAN, Data Guard, Golden Gate, Exadata, Performance Tuning, WebLogic middleware - Forms and Reports, Various storage engines, Oracle customer tools, Performance tuning of Oracle databases, ...

The High-Performance Computing Storage Engineer is primarily responsible for the overall health and maintenance of storage technologies in our managed services customer's environments.

... 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 ...

... https://jobeax.com/link/JSd7UYCSg572jJDY and integrating them into production https://jobeax.com/link/LNO4qyefA3UlJa2l Responsibilities : - Design and implement AI-powered data pipelines to extract, clean, enrich, and transform structured and unstructured data.- Orchestrate LLMs to automate data manipulation, validation, and cross-referencing ...

... Terraform, CloudFormation) and containerization/orchestration tools like Docker and Kubernetes. Distributed data processing (e.g., Shell scripting, Bash) to automate data workflows and tasks. Experience supporting data science or ML teams with clean, well-modeled data. Exposure to data governance, cataloging, or data quality frameworks ...

... FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) - Experience with dbt (data build tool) for transformation layer management and semantic modeling. - Familiarity with data lakehouse ...

... supervision. As a Data Entry Specialist, you will be responsible for accurately entering data into our systems, maintaining and updating records, and ensuring data quality and integrity. Enter data into our systems accurately and efficiently, following established procedures and guidelines - Verify and review data for accuracy ...

... transformation, and loading (ETL) of data. Your responsibilities will include: - Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. - Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. ...

... Business, Finance, Data Analytics, or related field.- 5 - 8 years of experience in data management, data governance, data quality, MDM, platform configuration, or data testing roles.- Financial services industry experience preferred.- Demonstrated hands-on experience configuring data models, data quality rules, or governance ...

... data sources.- Collaborate with data scientists, analysts, and other engineering teams to define data requirements and ensure the availability and quality of data for analytics.- Develop and manage automated processes for data integration, cleansing, and transformation.- Work with large-scale datasets and optimize data ...

... application development to join our team. The role involves managing development of FastAPI based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven ...

... automated testing).- Exposure to Agile/Scrum methodologies.- GCP Professional Data Analyst or Data Engineer certification.- Tableau Desktop Specialist / Certified Data Analyst certification.- Experience in media, broadcasting, healthcare, or other data-intensive domains.- Understanding of data governance frameworks and data ...

... for a high growth open-end and closed end real estate product line. - Liaison between fund administrators and US based parent company to facilitate efficient data transfer to CP US systems. - Support Investor and consultant data needs by updating databases containing performance and operations data for our product line. ...

... Compliance, and Management teams with reporting and data analysis requirements. - Validate data quality and investigate issues related to mismatched numbers, missing data, or incorrect calculations. - Work with data engineering or database teams to understand data sources and improve reporting reliability. - Optimize Power BI reports ...

... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...

... Skills, Education, or Experience - Experience developing and supporting data integration, ETL/ELT processes, data pipelines, and data transformations using modern data platforms and cloud-based technologies. - Working knowledge of data modeling, SQL, data quality practices, metadata management, and data governance principles ...

... Lemlist, or similar - Strong understanding of B2B database sourcing, list building, and segmentation - Familiarity with CAN-SPAM, GDPR, and email compliance best practices - Ability to manage large contact databases (100K+ contacts) - Data-driven mindset with experience optimizing campaigns based on performance analytics