Data Engineer

About the Team:

We are a delivery-focused technology group responsible for developing advanced data-driven systems, implementing cloud-based solutions, and building modern applications using technologies such as Angular, Java, and .NET.

We also integrate cutting-edge off-the-shelf products in areas such as compliance, AML, capital adequacy, and additional business domains.

And one more thing- this is a great opportunity to be part of a modern technological transformation.

Role Overview:

We are looking for a Data Engineer to design and develop end-to-end data pipelines in a Data Lake environment.

The role includes:

• Developing complex data pipelines in a Data Lake ecosystem
• Implementing data ingestion and movement processes in relational environments
• Developing Python scripts (with emphasis on PySpark)
• Conducting data development and analysis using SQL
• Performing unit and integration testing
• Working with CI/CD processes

Requirements:

• 2+ years of hands-on experience with Python
• 2+ years of experience in Big Data, especially Spark and Hive
• Strong ability to read and write complex SQL queries
• 3+ years of experience with Microsoft Data technologies (SSIS, SQL Server)
• Knowledge of DWH, Data Lake, ETL/ELT processes
• Experience working with CI/CD pipelines
• Experience working with CTRLM
• Experience with Teradata – an advantage
• Familiarity with Qlik Sense or Quilliup – an advantage
• Background in the financial sector – an advantage

Personal Qualities:

• High sense of responsibility and ownership
• Independent, organized and proactive
• Strong initiative, motivation, and energy
• Excellent communication skills and team player
• Eagerness to learn and grow both technically and personally