... Install, configure, and update database software and tools - Monitor and optimize database performance and capacity - Perform backup and recovery operations- Ensure database security and compliance with policies and standards - Diagnose and resolve database issues and errors - Support database development and testing activities ...
... . Evolving Corporate & Population Health Needs: Requires continuous updates to risk models, data insights, and engagement strategies. Regulatory Compliance & Data Privacy: Must adhere to ABHA, FHIR, and DPDP guidelines while ensuring data protection. Alignment across analytics, underwriting, and wellness partners to drive ...
... driven to deliver high quality data solutions that enable better decision making across the organization. This Data Engineer role will design, build, and maintain data pipelines and integrations across multiple source systems in a global environment. They develop ETL processes and APIs, manage data warehouse schemas, and ensure ...
... transformation, and loading of data from a wide variety of data sources using Pyspark, SQL and AWS big data-technologies - Build analytics tools that use the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics - Manipulate data at scale: ...
... design advanced analytics using Power Query and Power Pivot. Design and develop complex Excel-based automation solutions using VBA and Macros Build advanced data transformation workflows using Power Query Create sophisticated data models and analytics using Power Pivot Develop customized Excel templates and tools for business ...
... Install, configure, and update database software and tools - Monitor and optimize database performance and capacity - Perform backup and recovery operations- Ensure database security and compliance with policies and standards - Diagnose and resolve database issues and errors - Support database development and testing activities ...
... Monitor vendor performance and ensure procurement deliverables are aligned with project schedules. Support equipment inspections, documentation reviews and vendor data management activities. Required Qualifications & Experience Bachelor's Degree in Mechanical Engineering or a related Engineering discipline. Experience in project ...
... quality, and performance for analytics and GenAI use cases. Data Pipeline Development Build and maintain scalable ETL/ELT pipelines 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 ...
... together can change the way the world communicates. Requisition ID: 78299 Description Skyworks’s RF & Mixed Signals Intelligence (RMI) Business Unit is seeking a Director, Firmware Engineering to lead its wireless engineering team in India comprising of firmware architects, developers and test engineers across various product ...
... opportunities to the appropriate Corning business and support progress to scale as required. Strategic Growth Focus • Explore emerging and adjacent spaces such as AI/data infrastructure, advanced electronics, mobility, aerospace and drones, healthcare, pharmaceuticals, and advanced manufacturing. • Maintain a forward-looking view ...
... growing Data and Analytics team. Your key responsibilities - Employ tools and techniques used to understand and analyze how to collect, update, store and exchange data - Define and employ data modeling and design standards, tools, best practices, and related development methodologies - Design, review and maintain data models ...
... implementing KYC standards, guidelines, policies, and procedures. You will handle and maintain confidential client documentation, collect and verify confidential client data, and review client data/processes to meet firm-wide quality standards. This role provides an opportunity to engage with the Middle office and be part of KYC/AML ...
... test, deploy and iterate on data science solutions - Provide feedback to improve the quality of data collection to ensure adequacy, accuracy and legitimacy of data (e.g. this could involve cross-checking of different sources and validating the correlation between them) Ability to process complex data sets Ability to perform ...
As a Reference Data Specialist within the Instrument, Pricing & Common Reference Data team, your role will encompass a variety of responsibilities. These include daily capture and validation of bond prices from third-party sources, analyzing price movements in relation to market news and expectations, and liaising with ...
... strong Data Analyst background with the ability to work with Excel, SQL, web-scraped data, and databases , while also being comfortable supporting basic cloud database, software, and data-related troubleshooting activities . Since the application relies heavily on accurate data, the candidate should be able to identify data-related ...
... across technical and non-technical stakeholders. Preferred Qualifications - Experience with containerization technologies (Docker, Kubernetes). - Knowledge of data pipelines, data warehousing, or big data tools. - Familiarity with monitoring tools and performance optimization techniques. What’s in it for you? Pathways for ...
... and update B2B enterprise CRM data into internal systems Perform data cleaning and data cleansing to remove duplicate, incomplete, or outdated records Conduct data validation to ensure accuracy, consistency, and reliability of CRM records Maintain and organize large datasets while ensuring data integrity and confidentiality ...
Key Responsibilities: Edit and format candidate CVs Source potential candidates based on the given requirements Maintain and update data in Excel Review information carefully to make sure it is correct and complete Help the team with daily tasks as needed Requirements: Basic knowledge of Microsoft Excel Strong attention ...
... logical and physical data models that support analytics, operations, integrations, and governance. Design, develop, and maintain conceptual, logical, and physical data models for enterprise applications and data platforms - Create scalable and efficient models for financial data structures, including fund, LP, and GP data domains ...