... 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 ...
... 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 ...
... 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 ...
... 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, ...
... 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 ...
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 ...
... 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 ...
... 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 ...
... 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 ...
... opportunity This role manages a team of data scientists responsible for a portfolio of diagnostic, predictive, and prescriptive analytics projects to support data-driven business decision making. Supports the continuous evolution and strategy of data science capabilities. It also applies advanced data mining techniques ...
... 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 ...
... 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 ...
... 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 ...
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 ...
... 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.- ...
... medical centres within the assigned territory. Coordinate with consultants and internal departments to ensure smooth referral management. Maintain an updated database of referring doctors and healthcare professionals. Track referral patterns, patient referrals, and business opportunities. Organize and coordinate doctor ...