Semi Senior Data Engineer - Remote

Overview

As a Semi Senior Data Engineer, you will lead the development of a new business intelligence data stack, implementing solutions for data pipelines and analytics to support internal users and enhance decision-making.

In Short

• Lead the building of a business intelligence data stack.
• Design and implement data pipelines and analytics solutions.
• Collaborate with various business areas to understand user needs.
• Implement analytics solutions for actionable business insights.
• Follow and improve agile methodologies.
• Own and lead initiatives from inception to delivery.
• Work with unstructured datasets and build effective solutions.
• Utilize GCP services and orchestration tools.
• Communicate data-driven insights effectively.
• Work autonomously with a high degree of independence.

Requirements

• Strong analytic skills with unstructured datasets.
• Experience with GCP (Dataflow, BigQuery, etc.).
• Familiarity with orchestration tools (Airflow, Dagster, etc.).
• Experience building big data pipelines.
• Knowledge of data modeling and data fundamentals.
• Proficiency in SQL and NoSQL databases.
• Understanding of data lake and warehousing solutions.
• Knowledge of stream-processing systems.
• Proficient in Python, Java, or Scala.
• Good communication skills and autonomous work ability.
• At least B2 conversational English level.

Benefits

• Collaborative and fun work environment.
• Opportunities for personal and professional growth.
• Focus on continuous improvement and learning.
• Work with smart, driven individuals.