Our client is looking for a Data Engineer.
As a Medior Data Engineer, you will leverage your 2-5 years of experience in designing and coding data processing pipelines. You will be responsible for translating functional designs into technical designs, developing code to capture and process data, setting up and scheduling automated data pipelines, maintaining high code quality standards, and implementing test strategies. We are seeking a Medior Data Engineer with knowledge of on-premises and AWS-related tools, including Python and PySpark, to join our IT Anti Money Laundering (AML) team. The assignment will primarily involve migrating some of our AML processes from on-premises to AWS, including performing reconciliations. Additionally, you will be responsible for setting up a rule-based AML Insurance screening on AWS.
Key Responsibilities:
- Comprehend functional designs based on specifications and translate them into technical designs.
- Develop necessary code to capture and process data.
- Set up and schedule automated data pipelines.
- Maintain high standards for code quality.
- Provide necessary tests for implementing the test strategy.
Core Competencies:
- Agile Methodologies
- Analytical Thinking
- Collaboration
- Data-Driven Approach
- Eagerness to Learn
- Independence
- Problem Solving
- Result-Driven
Qualifications:
- Language Knowledge: English (must have)
- Technical Skills:
- Apache Airflow (must have)
- Apache Spark (must have)
- Python (must have)
Working Conditions:
- This is a temporary assignment for 6 months, until the end of 2025.
- You will work in a dynamic environment with opportunities to collaborate with various teams.
