Technical Data Modeller – Finance Data Platform
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Job Location:
Monthly Salary:
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Job Summary
We are seeking highly capable and experienced Data Modellers to design and implement robust scalable and finance-aligned data models to support the Finance Data Platform on Databricks ensuring data integrity consistency and usability across analytical and operational use cases.
Key Responsibilities:
Key Responsibilities:
- Develop conceptual logical and physical data models for finance data domains
- Collaborate with data engineers to implement models within Databricks
- Define and maintain data models and data dictionaries aligned with finance business semantics.
- Optimise data structures for query performance and downstream analytical consumption (Power BI analytics workspaces etc.).
- Participate in data quality design and validation processes.
- Strong experience with data modelling (conceptual logical physical) in large-scale finance or enterprise data environments.
- Hands-on experience implementing data models on Databricks
- Strong proficiency in SQL data warehousing and dimensional modelling (star/snowflake schemas).
- Knowledge of finance data structures and accounting principles.
- Understanding of data governance master data and metadata management practices.
- Collaboration skills to work across engineering architecture and finance teams.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
