TL;DR

Data Engineer (Fintech): Developing scalable data model architectures that integrate current and historical data with an accent on data quality, consistency, and optimal query performance. Focus on designing and implementing ETL pipelines using Azure Data Factory and optimizing database performance in MS SQL Server.

Location: Remote. Available locations include Almaty, Astana, Belgrade, Bengaluru, Cluj-Napoca, Dnipro, Kharkiv, Krakow, Kyiv, Larnaca, Lodz, Lublin, Lviv, Monterrey, Montevideo, Odesa, Remote Brazil, Remote Bulgaria, Remote Colombia, Remote Georgia, Remote Kazakhstan, Remote Poland, Riga, Sofia, Tbilisi, Varna, Warsaw, Wroclaw, Yerevan

Company

Our client is a global value-based asset management firm headquartered in the US serving individual and institutional investors through five no-load mutual funds and eleven separate account strategies.

What you will do

Design and implement ETL pipelines using Azure Data Factory following ETL best practices and design patterns.
Work with MS SQL Server to optimize database performance and data modeling.
Manage and maintain CI/CD pipelines for seamless integration and deployment.
Collaborate with data engineers, analysts, and stakeholders to ensure data quality and architecture scalability.

Requirements

Strong proficiency with Azure, specifically Azure Data Factory (ADF).
Expertise in MS SQL Server including performance tuning and query optimization.
Solid understanding of ETL best practices and design patterns.
Experience working with GitHub for version control and collaboration.
Hands-on experience with CI/CD pipeline creation and maintenance.
Knowledge of cloud data architectures and data modeling best practices.

Nice to have

Strong problem-solving skills and attention to detail.
Effective communication and collaboration skills within a cross-functional team.
Ability to work independently and manage multiple priorities.