
Data Modelling Engineer
5 days ago
As a key member of our global team, you will be responsible for designing and implementing business intelligence and data modelling/analysis services, including integration with databases, used to mine our enterprise systems and applications for knowledge and information that enhance business processes.
About UsSmall World Financial Services Group is one of the largest money transfer companies in the world, with a network of over 360,000 pick-up locations and a global team of over 1000 people who are responsible for over 15 million worldwide transactions each year.
Job DescriptionThe successful candidate will have a strong background in data analysis and data science, with expertise in data modelling, ETL tools, and integration solutions. The candidate must have experience with data processing flowcharting techniques and be able to communicate complex data insights to non-technical stakeholders.
Responsibilities- Design, develop, and deploy required data queries in response to business user needs.
- Collaborate with business users and the rest of the data team to develop data models and protocols for mining databases.
- Assist in the development of data management policies and procedures.
- Communicate data insights to various stakeholders.
- Ensure the integrity and security of sensitive data.
- Design, code, test, and document all new or modified BI/Data systems and applications.
- Develop reports and dashboards for users in the visualisation product (Tableau or Power BI).
- Implement efficient data storage and retrieval mechanisms.
- Develop, implement, and maintain change control and testing processes for modifications to data models.
- Collaborate with architects and database administrators to ensure adequate protection and integrity of data assets.
- Monitor data management system details within the database, including stored procedures and execution time, and implement efficiency improvements.
- Troubleshoot BI tools, systems, and software; performance-tune these applications as necessary.
- You have a minimum of 5 years of direct work experience in an organisation counting on a BI/D&A department. It's even better if you have that experience in the finance industry.
- Certification in AWS Data Engineer is very well considered.
- You have comprehensive data warehouse analysis and design experience, with full knowledge of data warehouse methodologies and data modeling.
- Minimum of 2 years experience with BI and Data solutions with AWS services: Redshift, Lambdas, S3, DMS, Airflow (or others).
- You have knowledge of AWS infrastructure configuration.
- You have proven experience with tier-one applications, databases, and data warehouses, such as Oracle 9i, MS SQL Server, SAP, Postgres, etc.
- You master SQL scripting language and have medium knowledge in Python.
- Expertise in data modeling, ETL tools, and integration solutions.
- Experience with data processing flowcharting techniques.
- Demonstrated ability with several or at least one of the following visualisation tools (Tableau or Power BI).
- Strong ability to analyse user requirements and build BI/Data applications according to specifications.
- Good knowledge of applicable data privacy practices and RLS models.
- You can easily optimise latencies, algorithms, or slow queries.
- You are familiar with source control versioning systems and you can use GIT without any issues.
- You can have good communication in English, ideally you speak and write English at a professional level.
- You are a great team player and you love working as a part of a team.
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