CTC006022 - Analyste, ingénierie des données

Secteur industriel: Bancaire/Banking

Type d'emploi: Contract

Durée: Six months

Mode de travail: On Site

Description

We are looking for 2 resources.

Remote work 100%

The mandate is renewable.

Languages required: French, bilingual an asset

Description of the mandate

- Work with Data Owners and Data Stewards to implement the data quality controls and rules they have defined in the different environments

- Connect to the various banking systems via existing APIs, or by creating new APIs, to obtain the data to be controlled or validated

- Documentation of transformation and validation applied to data Knowledge

- Banking and Payments domain

Experience in financial transaction analysis

Knowledge of RPCFAT regulations

Experience with systems containing financial data (cards, transactions, payment data, etc.)

- Developer

DevOps tools (GIT, Maven/Gradle, Jenkins, Nexus, Atlassian Jira & Confluence, Bitbucket, GitHub)

Linux and infrastructure tools (Docker, Kubernetes, Terraform)

Micro-services and APIs (REST, Kafka, MQ or other broker), SOA, JSON

AWS and Openshift (Docker and Kubernetes)

Best practices in software engineering (BDD, TDD, SOLID, Clean Code, DevOps)

Hands-on experience with Kafka connectors, such as MQ connectors, Elastic Search connectors, JDBC connectors, file stream connector, JMS source connectors, Tasks, Workers, converters, Transforms

- Data engineering

Datahub framework experience: Raw -? Curated -? Consumption - Strong experience in developing massive data ingestion and flow scripts.

Experience in production and maintenance of software projects, especially in the megadata ecosystem

Experience in Distributed cluster-computing (Spark, Databricks, Beam...)

Experience with Melissa Data, or any other address formatting tool

Nice to Have

- Knowledge of AML (Anti-Money Laundering) and KYC (Know Your Customer) principles