OBJECTIVES OF THE PROGRAMMEThe Health Systems, Access and Data (HSD) division is focused on supporting the achievement of universal health coverage (UHC) goals and health Sustainable Development Goals (SDG) and Fourteenth General Programme of Work (GPW14) targets, through equitable and resilient health systems that benefit ...
... devices. Enforce attack surface reduction (ASR) rules for endpoint protection. Configure endpoint compliance policies using Microsoft Intune . Implement DLP (Data Loss Prevention) policies to prevent data exfiltration. c. Compliance & Risk Management Implement and monitor Microsoft Purview Compliance Manager for risk assessment. ...
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Data Engineering Minimum 5 ...
... TO FULL TIME ) NEED ASAP ( START DATE 1st September) Data Engineer About the Role: As a Data Engineer, you'll design, build, and scale the data systems that analysts, business leaders, and products rely on every day. You'll work at the intersection of engineering and real business impact, turning raw data into something ...
... architects to be the part of its global platform and applications development team in Technology group. The purpose of this role is to develop, sustain and enhance technical architecture of Smith's cloud (and on-premise) based Platform and its applications. The position is based in Bangalore. The Senior Data Scientist is part of ...
... is a GUI-driven tool that extends Excel capabilities to optimize outcome time, minimize user errors, and enhance reliability and accuracy with diverse source data types. NET core architecture, XL++ works on all Excel versions and processes large datasets efficiently. It features customized add-ons for data import, transformation, ...
... for structured and unstructured data. Ingest data from diverse sources such as APIs, streaming, and batch systems. Data Modeling & Warehousing Design efficient data models to support analytics and AI workloads. Develop and optimize data warehouses/lakes using Redshift, BigQuery, Snowflake, or Delta Lake. Big Data & Streaming ...
... and track Provider Credentialing documents and data in processing systems and shared spreadsheets. Monitor faxes, files and other sources of incoming Provider data notifications to ensure that Provider credentialing data is processed in a timely manner. Communicate with providers to obtain updated documents as needed during ...
... Modelling, Ontology, Semantic Data Modeling - Preferred understanding of Data Analytics on Cloud landscape and Data Lake knowledge. - Cloud Data Engineering, Cloud Data Integration - Must be familiar with Data Architecture Principles. Professional Experience: - Strong requirement analysis and technical solutioning skill in Data ...
... ownership, OR - 2-3 years as Data/Backend Engineer with PM work (PRDs, roadmaps, user research) Technical Stack Depth Deep understanding: ETL/ELT pipelines, data warehousing, data lakes/lakehouses Advanced SQL (query optimization, not just SELECT statements) Hands-on with ONE of: Hive/Spark/Hadoop/HDFS, Snowflake/Databricks/BigQuery, ...
... development team, participating in Scrum ceremonies, sprint planning, and the collective execution of work items. Experience: 1 to 3 years of hands-on experience in data engineering, data science, or advanced data analytics. Core Technical Stack: Advanced proficiency in Power BI and Snowflake. Programming Languages: Core coding ...
... the development and maintenance of Big Data processing frameworks and data lakes to handle structured and unstructured data. Collaborate with data scientists, analysts, and other engineers to ensure data accuracy and availability. Implement data ingestion strategies, ensuring the secure and efficient movement of data across ...
... - Experience with data preprocessing, feature engineering and model evaluation . - Strong analytical and problem-solving abilities. - Experience working with large and complex datasets. - Ability to communicate technical findings effectively to business and technical stakeholders. Priority: Immediate to 15 Days Joiners
... 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 ...
... in regulated industries (Pharma, Life Sciences, Banking). Design, build, and maintain scalable data pipelines supporting AI and GenAI use cases Work on modern data platforms (data lakes, lakehouse, streaming, Event hub like Kafka, containers, K8s) Enable high-quality, compliant data for analytics, ML, and GenAI workloads ...