Global Data Engineer

📋 Description

• Take ownership of delivering production-quality data systems.

• Lead the design of data architecture systems.

• Maintain high standards for code quality and reliability.

• Convert business requirements into technical solutions.

• Work collaboratively with engineering, product, and data teams.

• Provide mentorship and support to fellow engineers.

• Proactively identify and address risks.

• Enhance systems, tools, and processes.

⛳️ Requirements

• Over 5 years of experience in data engineering or related disciplines.

• Extensive experience in building and managing scalable data pipelines (both batch and streaming).

• Proficient in SQL and at least one programming language (such as Python, Scala, or equivalent).

• Familiarity with modern data platforms (e.g., Snowflake, BigQuery, Redshift, Databricks).

• Knowledge of orchestration tools (e.g., Airflow, Dagster) and data modeling methodologies.

• Experience with cloud services (AWS, GCP, or Azure).

🏝️ Benefits

• Health insurance

• Paid time off

• Flexible work arrangements

• Professional development