Tech Stack

Description

You will build and maintain scalable data pipelines and databases, designing end-to-end solutions for data and machine learning models. You will collaborate with cross-functional teams to ensure data accessibility for both technical and non-technical users, following best practices in engineering and data science.

Requirements

• 4+ years in Data Engineering, SQL, ETL
• 2+ years hands-on with Databricks
• Experience with Python
• Experience with AWS (S3, Redshift, Athena, Glue, Lambda, etc.)
• Upper-Intermediate English

Responsibilities

• Building databases, data lakes, and data ingestion pipelines
• Designing, developing, and deploying end-to-end data and data science solutions
• Developing and maintaining scalable data and machine learning solutions
• Collaborating with stakeholders across data platforms, architecture, development, and operations
• Addressing data security, privacy, and third-party coordination