... proper documentation and approvals. Collaborate with business teams on data governance and compliance initiatives. Identify and implement best practices for data ingestion, data design, and data quality improvement. Develop queries for profiling data, validating analyses, testing assumptions, and driving data quality assessment. ...
... techniques and design efficient, optimized databases to support complex business needs. Ensure the highest levels of data quality and integrity through rigorous data validation and cleansing processes. Collaborate closely with data scientists and analysts to provide clean, structured data for advanced analytics and machine ...
... requirements. Data Consultant : As a Data Consultant for the Data and Analytics team, you will work within a Professional Services team to support our customer's data platform on GW Cloud. You will also support the development of new tooling and methodology to streamline our data processes. Given the dynamic nature of the work ...
... the business. Role Description Amtech LLC is seeking a Lead Data Engineer to own the architecture, scalability, and technical direction of ACDP (Amtech Cloud Data Platform) - the data warehouses, pipelines, tenant data stores, and feature stores that power analytics, personalization, and AI agent initiatives across the ...
... optimizing data architectures to handle large-scale data from various sources IoT, PLC, SCADA including cloud and on-premise systems. Architecting scalable ETL and data workflows to support advanced analytics and machine learning models in Renewable domains Collaborating with cross-functional teams to deliver end-to-end data ...
... processes within pharmaceutical, biotechnology, or medical device industries. Deep knowledge of validation methodologies, risk-based quality frameworks, and data integrity principles is essential. Experience with SAP Life Sciences solutions and the ability to evaluate compliance impacts across complex technology landscapes ...
... monitoring, and governance of GenAI https://jobeax.com/link/XU98LZCDud62tiC7 Qualifications & Experience :- Education: Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, or related technical field. PhD is a plus.- Experience: 8 -12 years in AI/ML and software engineering, with 3+ years ...
... and data security standards across all platform components. Partner with cross-functional stakeholders – including product management, software engineering, analytics and data science teams – to understand data needs and deliver solutions. Drive adoption of DataOps and engineering best practices including CI/CD for data, ...
... a regulated public listed NBFC. The Data Science team owns Risk, policy, fraud signals, scorecards, and portfolio & overall analytics. We are hiring a Senior Data Scientist who has built and shipped credit decisioning systems (scorecards, BRE, feature pipelines) in digital lending. Own end-to-end credit & fraud data science ...
... Experience: Bachelor s or master s degree in computer science, Information Systems, Data Analytics, or a related field. Approximately 5+ years of experience in data analysis, data modeling, or data management roles, including involvement in large-scale ERP or data transformation projects (e. g. ERP migration, data warehouse ...
... record of accomplishment of successful project completion. - Strong and proven ability to use computer and office software applications. - Experience with analytics environment and Informatica technology solutions (Cloud, MDM, Big Data, DQ, DI, Data Security). - Ability to explore, examine, and understand complex enterprise ...
IN Data Engineering & Analytics(IDEA) Team is looking to hire a rock star Data Engineer to build data pipelines and enable ML models for Amazon India businesses. IN Data Engineering & Analytics (IDEA) team is the central Data engineering and Analytics team for all https://jobeax.com/link/82DbHMskdU4qETkp businesses. The ...
g. com/link/UjUMx2iVDrmPDrl1 : - Priority should be given to candidates with genuine hands-on SOC/subsystem timing-constraint experience rather than candidates with only standard PD-flow exposure. tech)
... external thought leadership . In this role, you will lead a team of data analysts responsible for the development, quality assurance, and ongoing refresh of market data assets. You will combine strong people leadership with technical expertise in analytics and data science to ensure reliable, scalable data pipelines and actionable ...
... analysis. Own production operations for the solutions you build, including monitoring, troubleshooting, incident response, and root-cause analysis. Partner with Analytics and Data Science teams to develop data quality dashboards, metrics, and reporting. Collaborate with Product and Business stakeholders to prioritize data sources ...
... and advanced analytics platforms at SeaGate - Apply your hands-on subject matter expertise in the Architecture of and administration of Big Data platforms - Data Warehouse Appliances , Open Data Lakes (AWS EMR, HortonWorks), Data Lake Technologies (AWS S3/Databricks/Other) and experience with ML and Data Science platforms ...
... the global DA team extends beyond 1000+ (and growing) data science professionals across data engineering, business intelligence, digital marketing, advanced analytics, technology, and product engineering. Experience in advisory / consulting in data governance Good understanding of different data governance standards especially ...
... Bachelor's degree in Data Science, Computer Science, Statistics, Business Analytics, or related field. - Proven experience with SQL queries, database management, and data manipulation. - Hands-on experience with Power BI for creating dashboards, visualizations, and reports. - Basic understanding of data modeling and data warehousing ...
... degree in Data Science, Computer Science, Information Systems, Data Analytics, or a related field, OR equivalent professional experience in data management, data governance, or a related field l 5+ years of overall experience, 2+ years of experience in data mgmt, data governance, risk management / analytics or a related ...