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enterprise CRM data into internal systems Perform data cleaning and data cleansing to remove duplicate, incomplete, or outdated records Conduct data validation to ensure accuracy, consistency, and reliability of CRM records Maintain and organize large datasets while ensuring data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 ...
... This helps us have a big impact at the enterprise level while still feeling small and nimble. As a Full Stack Senior Software Engineer with a deep interest in data engineering, you will bridge the gap between application development and intelligent data systems. You will play a foundational role in building highly performant ...
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, ...
... 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 ...
... building production-grade data pipelines.- Strong hands-on experience with data platforms such as Databricks.- Solid knowledge of data modeling, SQL, Spark, and Python.- Experience with orchestration frameworks, data quality tooling, and observability practices.- Exposure to unstructured data processing and AI/GenAI data pipelines ...
... experience as a Data Engineer or Analytics Engineer or similar role. - Proficiency in SQL, Python, or other relevant programming languages. - Strong experience with data warehousing concepts and tools. - Experience with ETL tools and processes. - Familiarity with data visualization tools. - Excellent problem-solving skills and ...
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 ...
... data problems and thrive in a fast-paced, collaborative environment, this one's for https://jobeax.com/link/F5wkEvjtX3G4ym8P You'll Do:- Build a self-service data platform for reporting & analytics.- Design robust data pipelines using Databricks, SQL, Python, Spark & Delta Lake on Azure (Blob Storage, Data Factory, Event ...
... 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 ...
... written and verbal. - Ability to work independently and collaboratively in a fast-paced environment. Preferred (Optional) Skills: - Familiarity or experience with Python for data analysis and scripting. - Salesforce Reporting is preferred but not mandatory. - Knowledge of advanced analytics and statistical methods. Why Join Us: ...
... Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science. Minimum of 6 years of experience in using Python, Databricks, Spark Streaming, Azure SQL Server, Azure Event Hubs, Azure Data Lake Storage, Azure Search etc. Extensive knowledge of AI tools like Claude, Databricks ...
... experience, with at least 4 years in parts management - Experience with scripting, AI, and continuous improvement enablers - Proficiency in CATIA V5/V6 - Knowledge of data science methodologies - Proficiency in software tools such as Excel, PowerPoint, Visio, Python, and Java - Familiarity with ERP systems - Strong problem-solving ...
... 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 ...