Data Engineer

What you are going to do
— Design, build, and maintain data warehouse architecture on AWS Redshift
— Develop and optimize ETL/ELT pipelines from diverse data sources
— Implement data quality checks and validation processes
— Collaborate closely with data analysts to understand data needs and deliver solutions

What we expect from you
— Proven experience in data warehouse development and ETL processes, with a focus on AWS Redshift (or other MPP database) and Airflow
— Strong understanding of data modeling techniques (e.g., Star Schema, Data vault)
— Familiarity with AWS tools (S3, Glue, Lambda) or similar cloud infrastructures

‍Not a Requirement, But an Advantage
— Experience in DBT

Stages of interview
— HR interview
— Technical interview
— Final interview with Head of Analytics
— Gathering recommendations
— Offer

Why us
— Global Collaboration: Join a diverse, international team that values innovation and recognizes individual contributions.
— Competitive Compensation: Receive an attractive salary package that reflects your expertise and rewards your contributions.
— Flexible Work Schedule: Enjoy the freedom to work during hours that best suit your productivity and lifestyle.
— Professional Development: Benefit from continuous learning opportunities and support for your career advancement goals.
— Location Options: Choose to work from our Belgrade office or remotely, with seamless collaboration tools for both.