Data Modeller

Responsibilities:

• Responsibilities Translate Business Requirements to Conceptual, Logical and Pysical Data Models
• Recognize the need for a specific relational design – OLTP, OLAP, Data Warehouse – from a set of requirements and/or from a Logical Data Model
• Participate in mapping of Logical to Physical Data Models and vice versa
• Perform model creation for large set of data which are being sourced to Big Data

Role Requirements       

• Strong Data Modeller with Financial Services experience
• Knowledge of and experience using data models and data dictionaries in a Banking and Financial Markets context

"Knowledge of one or more of the following domains (including market data vendors):

o            Party/Client

o            Trade

o            Settlements

o            Payments

o            Instrument and pricing

o            Market and/or Credit Risk"

• Demonstrate a continual desire to implement “strategic” or “optimal” solutions and where possible, avoid workarounds or short term tactical solutions
• Working with stakeholders to ensure that negative customer and business impacts are avoided
• Manage stakeholder expectations and ensure that robust communication and escalation mechanisms are in place across the project portfolio
• Good understanding of the control requirements surrounding data handling

Experience/Skillset        

• Excellent analytical skills and commercial acumen
• Experience in ETL/ELT as well as Entity Relationship (ER) data modelling
• Understanding of slowly moving dimensional Datawarehouse (star schema, kimball dimensional data modelling)
• Good knowledge of SDLC and formal Agile processes as well as testing experience
• Can write SQL (NoDQL) and Python queries, Scala knowledge preferable and navigate data bases especially Hive, CMD, Putty, Note++
• Strong self-starter with strong change delivery skills who enjoys the challenge of delivering change within tight deadlines
• Strong verbal and written communication skills
• Ability to manage multiple priorities
• Knowledge of and experience using data models and data dictionaries in a Banking and Financial Markets context
• Preferable knowledge and experience in Data Quality & Governance
• Understanding of on-prem and Cloud Data Lakes as well as data warehouses architecture
• Enthusiastic and energetic problem solver to join an ambitious team
• Business analysis skills, defining and understanding requirements
• Attention to detail
• Ability to communicate effectively in a multi-programme environment across a range of stakeholders
• Knowledge of Hadoop of Google Big Query is a plus