| Looking for Database Admin :: Sr Data Scientist at Alpharetta, Georgia, USA |
| Email: [email protected] |
| Hello Partner's This is Vinay from virtual Networx inc. please go through below priority requirements and share me suitable resumes to [email protected] or call me at 469-209-6237 Title: Database Admin/ Database Engineer Location: Alpharetta, GA(Only Locals) Visa Independent Description Hybrid 2-3 days a week onsite - Looking for : Oracle, Oracle ASM, MS SQL Server, Scripting ( Ansible,Python,Shell) ,Linux(must), Veritas Clustering Note: NO developers Please, Looking for DBA (Database Admins ) General Database Engineer Duties and Responsibilities - Provide guidance and support to Application Developers- Assist with schema design, code review, SQL query tuning - Install, tune, implement and upgrade DBMS installations - Write and deploy SQL patches - Upgrade and improve application schema and data upgrades - Process work accurately and in a timely manner - Always paying attention to the detail Urgency- Proactively and regularly make recommendations for system improvements - Collate, prepare, and present statistical information for internal and external use - Platforms we manage, Postgres, Oracle, Oracle ASM, SAP Sybase, Sybase RepServer, SAP Hana, Redis, Cassandra, Python, Linux, KSH, Veritas Clustering Write and Maintain Database Programs - Database engineers write new database programs and maintain existing programs to ensure they can handle the flow of traffic and the amount of data being stored in the database. Design New Databases - Database engineers help design new databases based on company needs, data storage needs, and the number of users accessing the database. Monitor Databases and Programs - Database engineers continuously monitor databases and related systems to ensure high functionality. Write Programs and Scripts - Database engineers write new support programs and scripts for databases to deploy, operate, increase data storage capacity, and fix existing database problems. Troubleshooting - Database engineers troubleshoot platform specific performance, checking for potential problems that affect database functionality and related database programs. Debugging - Database engineers look through coding language to debug existing database scripts and programs. Review Database Reports - Database engineers review daily, weekly, and monthly database reports, including user reports and systems information, to spot problems and ensure that all databases and support systems are working at peak levels. Requirements - Expertise in Installation, Upgrade & Patching of different components in Oracle, Sybase, and experience with the other platforms we manage listed in the Duties and Responsibilities. - Experience with Replication including setup, troubleshooting issues and failovers - Monitor all systems (work processes, users, system logs, short dumps, locks, developer traces, system traces, disk space, etc.). - Ensure production uptime service levels are maintained and made available per requirements that include backup, recovery, refresh, performance tuning, and security - Provide data cleansing services, verify data integrity, and implement access controls - Provide routine maintenance including problem defect analysis and resolution, space, storage, object management, physical database layout, rollback segment management, and temporary space management - Experience with Schema creation, deployment, and maintenance - Experience with Setting up and configuration of Auditing, audit trails - Carry out recovery of databases in an event of log full, system crash Troubleshoot issues related to the installation for our supported platforms - Should have knowledge of Disaster Recovery setup and maintenance - Automation using shell-script, python, go, etc. Performance & Tuning Related Expertise - Assist Developers and business analysts with their queries and tune them, if required - Experience with Performance analysis, monitoring of SQL queries and platform specific tuning. ______________________________________________________________________________________________ Role: Data Scientist - IT Duration: Long Term Location: Atlanta, GA(Only Locals) Only GC an USC Need 12+ Experience JD: Looking for a Sr. Statistical Consultant/Sr. Data Scientist to join our world-class Global Identity and Fraud Analytics team. In this exciting role, you will have the opportunity to work on a variety of challenging projects across multiple industries including Financial Services, Telecommunications, eCommerce, Healthcare, Insurance and Government. In this position you will: Work with various stakeholders such as Business Consultants, Senior Statisticians, Product Management, and Clients on the formulation and application of new modeling solutions for a variety of industry problems Manipulate large data sets, integrate diverse data sources, data types and data structures into solutions Develop analytical approaches to meet business requirements; this involves translating requests into use cases, test cases, preparation of training data sets and iterative algorithm development Research new and advanced predictive modeling techniques as appropriate for a specific solution Present results and recommendations to internal and external customers Work with cross-functional teams to develop ideas and execute business plans Develop solution prototypes and help integrate them with the product Work closely with software development teams to communicate requirements and ensure quality of end-to-end deliverables of developed analytical solutions Contribute to the team knowledge by keeping up with the state-of-the-art in machine learning applied to our domain Top Required Skill Sets - 3+ years of professional experience as a data scientist or statistical modeler in at least one of the following: identity and fraud, credit risk, telecommunications, financial services, payment, ecommerce, B2B or B2C, marketing, insurance, or security analytics arena. 3+ years working with Python and SQL. Experience with state of the art machine learning algorithms such as deep neural networks,support vector machines, boosting algorithms, random forest etc. preferred Strong SQL skills in Big Data environment (Hive/ Impala etc.) a plus Skills and Experience: Minimum 3 years of professional related work experience 1-3 years quantitative analytical experience, including conducting hands-on analytics projects using generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, support vector machine, clustering, and similar methodologies Proficiency skill in hands-on data mining and modeling projects with Python, R, and SQL Master's degree or higher in Mathematics, Computer Science , Engineering, Operations Research, Statistics or other related discipline Strong consultative acumen and ability to understand complex analytical solutions Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner Ability to create new ideas for analytical solutions to address customer's business issues Preferred Skills and Experience: 4+ years of professional experience as a data scientist or statistical modeler in at least one of the following: identity and fraud, credit risk, telecommunications, financial services, payment, ecommerce, B2B or B2C, marketing, insurance, or security analytics arena. 4+ years working with Python and SQL. Experience with state of the art machine learning algorithms such as deep neural networks,support vector machines, boosting algorithms, random forest etc. preferred Experience conducting advanced feature engineering and data dimension reduction in Big Data environment is preferred professional experience as a data scientist or statistical modeler in identity and fraud, credit risk, telecommunications, financial services, payment, ecommerce, B2B or B2C, marketing, insurance, or security analytics arena is a plus Strong SQL skills in Big Data environment (Hive/ Impala etc.) a plus Proficient with any programming languages such as Python , Java, Scala a plus Experience working with very large datasets, knowledge of distributed computing tools (Hadoop Streaming, MapReduce, Spark) a plus Exposure to Visualization tools such as Tableau a plus Extensive knowledge in fraud prevention methods and detection tools a plus Strong knowledge of credit bureau data and business problems in financial services and/or telecommunications a plus Things that would stand out on resume - Masters Degree in Computer Science & Data Science Previous Company - Any Bank, Ecommerce Keywords: rlang information technology golang green card microsoft Georgia Looking for Database Admin :: Sr Data Scientist [email protected] |
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| Tue Sep 03 19:48:00 UTC 2024 |