Data Engineer – Remote Full‑Time

About the role

We are looking for a skilled Data Engineer to join our remote team. In this role you will design, build, and maintain robust data pipelines that enable reliable analytics and reporting across the organization.

Key responsibilities

• Develop and optimize ETL/ELT processes using Python and cloud services.
• Design, implement, and manage data warehouses on AWS platforms such as Redshift.
• Write efficient SQL queries for data transformation, aggregation, and performance tuning.
• Ensure data quality and reliability through testing, monitoring, and documentation.
• Collaborate with cross‑functional teams using Git and Agile practices to deliver data solutions on schedule.

Required profile

• Strong background in Python programming for data engineering.
• Hands‑on experience with AWS services (S3, Glue, Lambda, EMR, Redshift or equivalents).
• Proven ability to build and maintain scalable ETL/ELT pipelines.
• Solid understanding of data warehousing concepts and cloud‑based data solutions.
• Experience with performance tuning and implementing data quality best practices.

Required skills

• Python
• AWS (S3, Glue, Lambda, EMR, Redshift)
• SQL
• ETL/ELT pipeline development
• Data warehousing
• Performance tuning
• Data quality assurance
• Git

What we offer

• Fully remote work environment.
• Opportunities to work with modern cloud data technologies.
• Collaborative Agile team culture.