Data Architect/Modeler
Must have Banking Experience Most 12 Projects
We Needed Data Modeler
Oracle Data Modeler is Must
Experience with Hadopp is Must
12 Years Minimum
Data Architect/Modeler
Job Description:
- Had done extensive enterprise scale Data Architecture work serving ODS and ADS requirements of the business
- Someone with Data Modelling Exp and building ingestion pipelines to meet near real time and batchbased pipelines
- Have worked on Hadoop data ingestion and Hive Data models
- Understand various technological solution for building Canonical Data Model (CDM) and big data solution including pros and cons associated with it.
- What is the best ingestion framework for performance
- What are the options for CDM design should we have a flat structure or have a normalized structure and what are the associated pros and cons around it
- What are the options for analytics design should we have a flat structure or have a normalized structure and what are the associated pros and cons around it
- What are the performance challenges for each of the solutions
- Commercial Banking experience modelling data platforms
- Should be hands on with tech solutions involving SQL no SQL big data near real time messaging technologies (KAFKA etc.) and batch based ETL technologies.
Preferred Skills:
- Experience with containerization technologies (Docker Kubernetes).
- Knowledge of machine learning tools and integration with Hadoop.
- Experience in migrating onprem Hadoop clusters to cloud platforms.
- Familiarity with CI/CD pipelines for big data solutions.
- A product mindset is a must. Should have played a key role in formulating product centric data strategy for a financial services client.
- Exposure to treasury areas like liquidity management payments or capital management will be a huge plus.
- Technical skills: Big data cloud data management Data lineage data quality platforms data distribution architectures Enterprise data patterns across multiple data layers.