We are:
Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.
With the right people and the right ideas, there’s no limit to what we can achieve
Are you a fit?
Sounds awesome, right? Now, let’s make sure you’re a good fit for the role:
Key Responsibilities
Implementation of solutions based on BIAN (Banking Industry Architecture Network) standards.
Data Modeling: ER (Entity-Relationship), Warehouse, Data Vault.
ETL processes, orchestration. Real-time, near real-time, or asynchronous with in-memory or queued data.
Design methods and patterns: Warehousing, Data Vault, Data Mesh, Data Fabric.
Advanced SQL, stored procedures, data profiling, and data quality.
Knowledge of BIG Data technologies such as: Hadoop, MapReduce, Hive, Spark, Flink, etc.
BI (Business Intelligence) and data exploitation (or data utilization).
MDM (Master Data Management) / Data Hubs.
ECM (Enterprise Content Management).
Basic knowledge of MLOps.
Knowledge of banking regulation.
Must-have Skills
SQL Server, Postgres, MySQL, MongoDB, DynamoDB, or similar.
Talend, Informatica, Pentaho, Airflow.
Power BI, Tableau, QlikView, Looker Cloud, or similar.
Anaconda, Colab, SAS, or similar.
Axon (Informatica), Apache Atlas, Collibra, or similar.
MEGA, ARIS.
Tools for Data Cleaning and Enrichment.
Tools for Document Management (or Document Control).
Nice-to-have:
What we offer:
*Specific benefits are determined by the employment type and location.
Find out more about our culture here.
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