Senior Data Engineer (Big Data & Cloud ETL) - Remote

Overview

At SPACE44, we empower tech startups and innovative companies across the US and Europe by delivering top-tier software engineers and comprehensive HR solutions. Unlike traditional staffing agencies, we accelerate innovation by providing performant hiring pipelines, efficient onboarding processes, performance management, and administrative assistance as an end-to-end service. Our unique approach ensures precise integration and high team performance in full-remote, nearshore, and offshore settings.

In Short

• Proactive opportunity to join a talent pool of Data Engineers.
• Design, build, and manage ETL/ELT pipelines.
• Develop scalable data processing solutions.
• Collaborate with teams to define data models.
• Ensure data integrity and quality.
• Automate workflows and deployment.
• Monitor and troubleshoot pipeline performance.
• Work in a flexible, remote environment.
• Access training opportunities in data science.
• Engage in innovative projects.

Requirements

• Minimum 6 years as a Data Engineer.
• Strong expertise in SQL.
• Advanced proficiency in Python.
• In-depth experience with Apache Spark.
• Proven experience with Kafka.
• Experience with AWS Glue and Azure Data Factory.
• Familiarity with Snowflake or BigQuery.
• Knowledge of NoSQL databases.
• Comfortable in cloud environments.
• BSc in Computer Science or relevant field.

Benefits

• Flexible Work Schedule.
• Professional Growth opportunities.
• Engage in innovative projects.
• Receive a competitive income.
• Collaborate with a global team.