Summary :We are looking for an experienced Oracle DBA L3 with 7 -10 years of hands-on experience in Oracle Database Administration. The ideal candidate should have strong expertise in Oracle RAC installation, RAC architecture, Oracle Database 19c, backup & recovery, database patching, and security best practices. Experience ...
... Optimization, Wait Stats, and Dynamic Management Views (DMVs) - Generate and interpret Performance Baselines, Monitoring Dashboards, and Health Reports. - Support database-related requests such as user management, data refreshes, schema changes, and security audits. - Participate in AWR/ASH/Statspack analysis for Oracle environments ...
Role Overview : We are looking for a hands-on Data Scientist with 3+ years of experience in Machine Learning and Deep Learning, along with practical exposure to modern LLM ecosystems. The ideal candidate has strong problem-solving and analytical skills who combines data modeling with engineering rigor and is comfortable ...
... and Product teams to build scalable, secure, and reliable database platforms for mission-critical workloads. 8-12 years of experience as a Database Engineer, Database Administrator, or Database Architect. - Strong hands-on expertise in PostgreSQL, and Amazon Aurora . - Strong experience in database schema design, data modeling, ...
... deployment activities.- Develop and optimize SQL queries for data extraction, validation, reconciliation, analysis, and performance tuning.- Work with relational databases and ensure efficient handling of large volumes of data.- Perform unit testing, integration testing, data validation, and reconciliation of ETL and matching ...
... infrastructures and features that are reliable and scalable according to deployment requirements. - Independently identifies opportunities for and drives prototyping (e.g., testing new applications or infrastructures, assisting in onboarding). Incident and Service Lifecycle Management: - Performs data collection, triage, ...
... converting this knowledge into a data puzzle. You'll be delving into the depths of information to uncover quality issues and initial insights, setting the stage for data excellence. You'll be the architect of data pipelines, using your expertise to cleanse, normalize, and transform raw data into the final dataset—a true data alchemist. ...
... passionate sales executive to join our sales team. The sales executive's responsibilities include generating leads, making sales calls, continuously updating our CRM database, and meeting sales targets. To be successful as a sales executive you should be an inspired self-starter and able to drive sales growth. Ultimately, a top-notch ...
... extraction, transformation, and loading of data from a wide variety of data sources using SQL Work with stakeholders, including the Executive, Product, Clinical, Data, and Design teams, to assist with data-related technical issues and support their data infrastructure needs. Create data tools for analytics and data scientist ...
Post: Data Entry & Vendor Management Executive Female candidates preferred Responsibilities: • Data entry and ERP record updates • Vendor follow-up for material, production and delivery • Purchase and production follow-up • Preparing Excel reports and maintaining documents • Coordination with vendors and internal departments ...
... and guidance to engineers.2. Hands-on Data Engineering : - Contribute directly to development of data pipelines and data workflows (~3050% hands-on).- Perform data analysis and SQL-based problem solving.- Design and optimize ETL/ELT pipelines.- Work with structured and enterprise data sources including SAP systems.- Support ...
... maintain scalable data transformation pipelines using Python (with tools like PySpark, ADF...) and SQL in Azure Databricks.- Implement transformation logic to move data from Bronze to Silver/Gold layers following data engineering best practices.- Apply strong data engineering principles to ensure data reliability, quality, performance, ...
Role Overview :As a Lead Data Scientist, you will spearhead the development and deployment of sophisticated machine learning models that drive strategic decision-making for our enterprise clients. You will act as the primary technical bridge between complex data architectures and business stakeholders, translating ambiguous ...
Principal Data Scientist - 7+ Years - BangaloreWe are hiring a Principal - Data Scientist with GenAI for a leading global AI and analytics organization. The role offers an opportunity to work on complex business problems and develop, implement and deploy Machine Learning and Generative AI solutions across https://jobeax.com/link/iWvc74qOaz1N3AKd ...
... and modern data platforms.- Experience designing end-to-end AI solutions and architectures across cloud and enterprise environments.- Strong understanding of data architecture concepts including data lakes, lakehouses, data warehouses, data pipelines, data governance, and data platforms.- Experience with major cloud platforms ...
... scalability Perform end to end data science workflows data collection cleaning feature engineering model training validation and monitoring Primary skills Technology Data Science Machine Learning Technology Machine learning data science Experience building and optimizing NLP systems using modern approaches e AI-Data science- Data ...
... scraping workflows for real-world use cases. Mindrift is looking for highly skilled 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, ...
... and implementing scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services.- Managing and optimizing data storage using Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Cosmos DB.- Automating data pipelines and workflows to streamline data ingestion, processing, ...
... experience in data engineering with a strong track record of delivering production-grade data solutions.- Strong proficiency in Python (PySpark, Pandas) and SQL for data transformation, pipeline development, and performance tuning.- Proficient with Microsoft Fabric including Lakehouses, Warehouses, Dataflows Gen2, and Data Pipelines.- ...
... automation. Proficiency in Python: ~ Python for Automation and Integration: Demonstrated expertise in Python, particularly for automating database tasks and managing data integrations across systems. Database Administration: ~ Hands-On with Relational or NoSQL Databases: Practical experience with at least one database system, such ...