Data Modeller
Vor 7 Tagen
Job/Project Description – tasks to be performed on a daily basis: The Data Engineer is responsible for designing and implementing data models in various data platforms.
Mandatory Requirements: Develop, test and support future-ready data solutions for customers across industry verticals.Develop, test and support end-to-end batch and near real-time data flows/pipelines.Demonstrate understanding in data architectures, modern data platforms, big data, ML/AI, analytics, cloud platforms, data governance and information management and associated technologies.Design and implement data models according to business requirements for specific use cases and/or client's business domains.Demonstrate understanding in data modelling schema design approaches and techniques such as Third Normal Form (3NF), Dimensional Modelling, Entity-Relationship (ER) Models and Data Vault.Demonstrate understanding in Data Asset concept or Data Mesh Architecture and its Domain Data Products.Develop and demonstrate Proof of Concepts and Working Demos.Lead or collaborate with other internal/external consultants in consulting, workshops and delivery engagements.Mentor junior IBM consultants in the practice and delivery engagements.Required Professional and Technical Expertise: Minimum of 10+ years of total work experience as a solution designer, developer, tester or support role in IT Consulting or other technology business units across the industry.Minimum of 3+ years of hands-on development, testing and administration experience with Big Data/Data Lake services in cloud and on-premise.Minimum of 3+ years of designing and implementing data models in Big Data/Data Lake or Data Warehouse environment using modelling approaches and techniques such as Dimensional Modelling on top of Star or Snowflake Schemas.Experience in implementing data model products (IFW/BDW/FSDM) from vendors such as IBM and Teradata.Hands-on experience in data model design tools such as Erwin and Sparx Systems Enterprise Architect.Experience in applying industry best practices, design patterns and first-of-a-kind technical solutions as developer or administrator on data and non-data specific platforms and applications.Experience in implementing near real-time data flows/pipelines and distributed streaming applications.Experience in implementing traditional ETL, data warehousing and BI solutions.Hands-on development experience and working skill level in Python, Scala, SQL, shell scripting and other programming/scripting languages.Hands-on implementation of services sensitive to performance SLAs with high availability, fault-tolerance, automatic fail-over and geographical redundancy.Working knowledge and hands-on experience with data services (Azure Synapse, Cosmos DB etc) in Cloud Platform such as Azure, AWS, GCP and IBM and other modern data platforms.Solid understanding of containerisation, virtualisation, infrastructure and networking.Diverse experience in software development methodologies and project delivery frameworks such as Agile Sprints, Kanban, Waterfall etc.Experience in presenting to and influencing stakeholders and senior managers.Team leadership and people manager experience.Degree in Computer Science, Information Technology or related Engineering courses.Desired Attributes and Skills: One or more industry-recognised technology certifications or badges.
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