... 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 ...
... 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 ...
... 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 ...
... 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enterprise CRM data into internal systems Perform data cleaning and data cleansing to remove duplicate, incomplete, or outdated records Conduct data validation to ensure accuracy, consistency, and reliability of CRM records Maintain and organize large datasets while ensuring data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 ...
... 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 ...
... 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/ ...
... success. With a vision of being the most trusted, flexible, and easy-to-use data platform, our product portfolio includes the most performant data management, data integration, and data analytics products on the market. Customers use our cloud-native data platform to unify their data, explore and securely exchange data to ...
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 ...
... Expertise working experience with programming 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 ...
... 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 ...
... Behavior, Supply Chain, etc. - Exceptional SQL skills. - Experience with modern visualization tools like Tableau, Power BI, Domo, etc. - Knowledge of open-source, big data, and cloud infrastructure such as AWS, Hive, Snowflake, Presto, etc. - Experience with agile development methodologies. - Experience in retail or e-commerce ...
... optimization and performance tuning experience Data Engineering: Experience with data orchestration platforms (Airflow, Azure Data Factory, SSIS, or similar) Big Data: Familiarity with Apache Spark, PySpark, or similar distributed processing frameworks Cloud Platforms: Hands-on experience with Azure, AWS, or GCP data services ...
... 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 ...