Senior Data Engineer (AWS & Python)

About us:   Talent has no borders. Proxify's mission is to connect top developers around the world with the opportunities they deserve. So, it doesn't matter where you are; we are here to help you fast-track your independent career in the right direction. 🙂   Since our launch, Proxify's developers have successfully worked with 1200+ happy clients to build their products and growth features. 5000+ talented developers trust Proxify and its network to fulfill their dreams and objectives.   Proxify is shaped by a global network of supportive, talented developers interested in remote full-time jobs. Our Glassdoor (4.5/5) and Trustpilot (4.8/5) ratings reflect the trust developers place in us and our commitment to our members' success.   The Role:   We are looking for a Senior Data Engineer specializing in modern, cloud-native data platforms, with a strong focus on Amazon Web Services (AWS) and Python. You will be responsible for designing, building, and optimizing highly scalable and reliable ETL/ELT pipelines and data warehouses that power analytics, machine learning, and business intelligence for our clients.   What we’re looking for:   5+ years of professional experience in data engineering Expert proficiency in Python for data manipulation, scripting, and pipeline development (e.g., Pandas, PySpark). Deep hands-on experience with the AWS cloud platform, specifically the core services used for data ingestion, storage, and processing (S3, Glue, Lambda, EMR). Proven experience working with modern data warehouses (Snowflake, Amazon Redshift, or Google BigQuery/Azure Synapse). Solid expertise in SQL and complex query writing/optimization. Strong understanding of containerization and orchestration concepts (Docker, Kubernetes). Fluent English communication skills. Located in CET timezone (+/- 3 hours), we are unable to consider applications from candidates in other time zones.     Nice-to-have:   Experience with Infrastructure as Code (Terraform or CloudForm

Tech Stack