... Technically familiar with the stack to recommend infrastructure improvements Desirable Skills Experience with Plotly library structure (For pictorial presentation of the data) Experience with Databricks/Database and schema knowledge Soft Skills Solid communications skills Negotiation skills with the highly technical SMEs
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 ...
... journey of model building Advocating application of best practices in data engineering, code hygiene, and code reviews Leading the development of proprietary data engineering, assets, ML algorithms, and analytical tools on varied projects Working with partners and principals to shape proposals that showcase our data engineering ...
... 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 ...
... 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, ...
... AI-enablement layer on top of our enterprise data platform to enable business users across Finance to interact with governed data in natural language. We're hiring a Data Enablement Engineer to design, build, and operate the trusted datasets, semantic models, and embedded AI experiences that make this possible. This is a data platform ...
... requirements. Identify and correct data inconsistencies and anomalies. Use data labelling tools such as Labelbox, Supervisely, Scale AI, or similar platforms. Data Quality Assurance: Conduct quality checks on labelled data to ensure adherence to project standards. Work closely with data scientists, engineers, and product ...
... monitoring. Drive project-management rigor — dependency management, risk escalation, and stakeholder reporting. Collaborate with data engineers and IT teams to ensure data availability, quality, and reliability for analysis and modelling. Expertise in programming languages such as Python or R for data manipulation, analysis, and ...
... optimization, with hands-on experience in Python, SQL, Bayesian modelling, and cloud-based machine learning environments such as AWS SageMaker. Lead and mentor a team of data scientists and provide technical direction across multiple data science projects. Own the end-to-end delivery of data science solutions, from problem definition ...
... high-concurrency, real-time data - Mastery of specialized data quality tools (e.g., Great Expectations, Monte Carlo). - Proficiency with cloud platforms and data warehouses (e.g., AWS, Databricks, Snowflake). - Familiarity with A/B testing frameworks and the nuances of experimentation - Knowledge of global data privacy ...
... scheduled workflows, and reporting pipelines.- Support and enhance data APIs for internal analytics consumption.- Ensure data quality, consistency, and low-latency data availability across systems.- Work on new initiatives within the data platform, including building and integrating new data pipelines, features, and use cases.- ...
... Expertise in Azure Data Factory for ETL pipeline development 4. In-depth knowledge of Azure Data Lake Storage Gen2 (ADLS Gen2) 5. Experience with CosmosDB for data modeling and integration 6. Strong skills in Python for data engineering tasks 7. Proficiency in Databricks and Stream Analytics 8. Experience with Event Hub ...
... you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full ...
... provisioning to support infrastructure, applications, and services. - May perform standard and non-standard decommissioning (e.g., shutting down servers, removing data from databases) to remove objects that are no longer needed. Automation: - Identifies opportunities for automation and assesses potential benefits. - Develops ...
... https://jobeax.com/link/D4GLjfywL6FEvFfU role is part of a client-facing cybersecurity/data protection function, where the selected professional will work closely with security teams, data owners, platform owners, and other stakeholders to implement and optimize enterprise-grade Netskope Data Loss Prevention (DLP) https://jobeax.com/link/ogW4mNXlWSCaUHh0 ...
... 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. ...
... 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 ...
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 ...
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 ...
Job Purpose Job Description Content for Job Profiles is a work in progress. com/link/KeS4ROcw5HR1XPoU . Job Duties and Responsibilities Job Description Content for Job Profiles is a work in progress. com/link/KeS4ROcw5HR1XPoU . Education and Qualifications Skills and Competencies