Description
Job Title:Data Modeler/Data ArchitectInside IR35
Location:Edinburgh
Department/Practice:
Digital -Data and Analytics
Job Purpose and primary objectives:
Key responsibilities (please specify if the position is an individual one or part of a team):
. The associate should have good knowledge on Big data/Hadoop echo systems, and Mandatory for Data Modeler/Data Architect along with following experience.
. Strong experience in hands-on technical deliveries, leading technical teams from design through to implementation of production systems
. Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL).
. Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models
. Define and govern data modelling and design standards, tools, best practices, and related development for enterprise data models.
. Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
. Hands-on modelling, design, configuration, installation, performance tuning, and sandbox POC.
. Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.
Someone who has design solution involving the following Skills :
. MongoDB
. AWS (EMR, S3, Glue, EC2, Data Lake concept, Kinesis etc..)
. Snowflake (Optional)
. Hadoop
. Microservices
. Pega (optional)
Key Skills/Knowledge:
. The associate should have good knowledge on Big data/Hadoop echo systems, and Mandatory for Data Modeler/Data Architect along with following experience.
. Strong experience in hands-on technical deliveries, leading technical teams from design through to implementation of production systems
. Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL).
. Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models
. Define and govern data modelling and design standards, tools, best practices, and related development for enterprise data models.
. Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
. Hands-on modelling, design, configuration, installation, performance tuning, and sandbox POC.
. Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.
Someone who has design solution involving the following Skills:
. MongoDB
. AWS (EMR, S3, Glue, EC2, Data Lake concept, Kinesis etc..)
. Snowflake (Optional)
. Hadoop
. Microservices
. Pega (optional)
.
Experience required:
Secondary Skill- Banking Domain Knowledge, BIG Data, AWS along with following experience.
. The associate should have good knowledge on Big data/Hadoop echo systems, and Mandatory for Data Modeler/Data Architect along with following experience.
. Strong experience in hands-on technical deliveries, leading technical teams from design through to implementation of production systems
. Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL).
. Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models
. Define and govern data modelling and design standards, tools, best practices, and related development for enterprise data models.
. Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
. Hands-on modelling, design, configuration, installation, performance tuning, and sandbox POC.
. Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.