Senior Data Engineer – Freelance

Role Overview

• Choose what works well for you in terms of when, where, and how you work.
• Match with work that fits your skills and access to various opportunities across different industries and companies.
• Gain experience and develop various skills as part of the team.

Requirements

• 4+ years of commercial working experience as a Data Engineer.
• Deep expertise in the AWS tech stack (Glue, DMS, Redshift, S3) proven by experience in previous commercial projects.
• Strong proficiency in Python, Scala, and Bash is required.
• Capability of traversing the "AWS universe" and managing data lifecycles.
• Reliability & Performance: understanding how to build crash-resistant, idempotent pipelines and optimize Spark jobs.
• Attention to detail, creative problem-solving abilities and a passion for data.
• Excellent command of written and spoken English (C1+).

Tech Stack

• Amazon Redshift
• AWS
• Python
• Scala
• Spark

Benefits

• 100% remote work;
• work with an experienced team of developers and continuous development of your hard and soft skills;
• long-term collaboration on challenging products.