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): - Party/Client - Trade - Settlements - Payments - Instrument and pricing - 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 datawarehouses (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 We are considering only those candidates who are ready for hybrid model (2 days a week ) & If candidate is in Bangalore should be ready to work at Capco - Electronic city Phase 1 office Immediate joinees only

Bangalore

Hyderabad

Capco - Data Modeller 

Capco - Data Modeller  ,Job Description for Capco - Data Modeller  in Capco in  Bangalore Hyderabad for (7-15) years of experience. Apply Now!

Job Description for Capco - Data Modeller  in Capco in  Bangalore Hyderabad for (7-15) years of experience. Apply Now!