Data Engineer

Job Description:

Please fill this table based on candidate experience and send:

1. Skills Level Need Type
2. Control M Automation Intermediate Mandatory
3. PL/SQL Intermediate Mandatory
4. Postgres SQL Intermediate Mandatory
5. Jira Intermediate Mandatory
6. Credit Market Basic Desired
7. Apache Spark Basic Desired

This role seems like a great opportunity for someone with experience in data and a strong understanding of Big Data technologies, especially in the context of market risk. Below is how you could structure the tasks and requirements more clearly for a candidate interested in the position:

Responsibilities:

1. Process Definition and Automation:
2. Actively participate in the definition of processes related to data management within the Datahub of Markets.
3. Automate data tasks and processes using Big Data technologies (especially Spark and Scala).
4. Prepare the necessary data for system integration and ensure its quality.
5. Open requests following internal procedures for process automation and configuration.
6. Perform integrated testing and collaborate with the quality team to validate the execution of the process.

1. Collaboration in Market Risk Analysis:
2. Work with Market Risk teams to ensure that the data and models align with the needs of the risk department.
3. Collaborate in validating the accuracy and reliability of the data models used for risk analysis.

Requirements:

1. Technical Knowledge:
2. Advanced knowledge of SQL, especially in managing and analyzing large volumes of data.
3. Experience in data model design for efficient and scalable Big Data analysis.
4. Practical experience in performing data testing and validation to ensure process accuracy.
5. Intermediate/advanced English to collaborate with international teams and understand technical documentation in English.

Desirable Skills (Not Required):

1. Technical knowledge of programming languages such as Scala and Big Data platforms like Spark, Hadoop.
2. Experience in technology projects in the banking sector, particularly in the area of financial risk analysis or data management.
3. Knowledge of financial products and market risk metrics, which can be useful for understanding data flows and the specific needs of the risk department.

This role seems more focused on process management and data quality rather than pure development, though technical knowledge is still valued, especially in the Big Data context. If you have experience in these areas and a good understanding of financial processes, this could be a great next step in your career within the field of risk analysis.