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 ...
... 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enterprise CRM data into internal systems Perform data cleaning and data cleansing to remove duplicate, incomplete, or outdated records Conduct data validation to ensure accuracy, consistency, and reliability of CRM records Maintain and organize large datasets while ensuring data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 ...
... metadata platforms - Experience supporting data lake, warehouse, or enterprise data platform initiatives Enterprise data modeling - Financial domain knowledge - Data quality and governance alignment - Business-to-data translation - Financial data structures - Fund / LP / GP data models - SQL / NoSQL schema design Bachelor’s ...
... role is ideal for someone who is dynamic and hands-on , with the ability to use agentic tools efficiently to accelerate delivery across full-stack development, data engineering, and machine learning enablement . Job Responsibilities Design and build ML systems end-to-end : problem framing, data prep, feature engineering, ...
... Hands on experience in server-side coding, workflows, Java scripts & plugins. - Strong designing skills around HTMS, CSS etc. - Strong experience on SQL Server database, Integration services & reporting services. - Knowledge on leveraging cloud infrastructure You May Have Knowledge of Power Platform usage is a big plus with ...
... 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 ...
... 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 ...
Hi All, W are hiring Data Engineers, 4-9 years experience with below mandatory Skills . Job Location : Pan India ( Tech M Location) Azure Databricks, ETL, Pyspark & SQL, Medallion architecture Informatica knowledge. Fact & dimension table Medallion architecture Data bricks certification preferable ADF, Databricks, Pyspark, ...
... background in Python, PySpark, and SQL, to join our growing data engineering team. The ideal candidate will have hands-on experience with cloud data platforms, data modelling, and a proven track record of building and optimising large-scale data pipelines in agile environments. Design, develop, and maintain robust data pipelines ...
... languages like Python, and SQL Solid understanding of data pipeline, data platform, data lake, data warehousing and analytics Research, design, and implement data modeling to solve complex problems Understand business requirements and translate into data pipelines and build data model transformations for reporting and analytics ...
... Python,Scala,SQL. Good to Have Skills: - Any of these add-on skills - Graph Database 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 ...
... Shield key processes and know-how on Statistical and ML Guarantee highest ML utilization Education: Mathematics/Physics/Engineering with a master's in business/data analytics or proven track record on Data Science Proven track record of minimum 5 years as a data scientist Coding capabilities in R and/or Phyton Relationship/ ...
... within our global organization. Day-to-day, you’ll work closely with teams across engineering, IT operations, and manufacturing, while also managing critical data activities, performing data analysis and cleansing, and supporting key users worldwide. You’ll specifically take care of maintaining master data governance and ...
... efficiency, cost modeling, capacity planning, and quality enhancements. Develop a deep understanding of systems and processes to extract insights from existing data while identifying and recommending IT enhancements to improve data quality. Develop strong partnerships with IT application owners and data management teams to ...
... Asia and Latin America. Within BNP Paribas Cardif, the 'Data & AI' department significantly contributes to the strategic ambition of making BNP Paribas Cardif a data and analytics-driven company. The development of Data and Analytics is identified as one of the pillars of Cardif's strategy. To achieve its goals in Data Management, ...
... Own the data platform roadmap end to end — ingestion, enrichment, matching, vertical data models, and the sync between our warehouse, CRM, and products - Turn ambiguous data problems into fully-specced, buildable projects - Prioritize ruthlessly across a large backlog: which verticals, which data sources, which quality fixes ...
... & Remote Operations YOUR TASKS: Build and maintain data pipelines to transform, process and ingest wind measurement and master data from multiple sources and data formats to drive analytical insights. Develop and optimize data models and schemas for storage and retrieval of structured andunstructured data Perform analysis ...
... Purpose/ Summary We are looking for a skilled Data Engineer with 1-2 years of experience in designing, building, and maintaining scalable data pipelines and data platforms. The ideal candidate should have strong expertise in SQL, Databricks, and Azure Data Factory (ADF. and hands-on experience working with large datasets ...
... Preparation Product Area, focused on building the next generation of finance data and processing services The team builds on a lakehouse architecture using Azure Databricks, Azure Data Factory and Azure Data Lake (Delta Lake) with Python being the main programming language and PySpark is used for large scale data engineering. ...