Sr. Data Engineer

Qualifications
Strong skills in Data Engineering, including building and maintaining scalable data pipelines and distributed data systems.
Proficiency in Data Modeling for analytical, operational, and machine learning workloads.
Hands-on experience with Extract Transform Load (ETL) processes and tools, focusing on performance, reliability, and maintainability.
Experience in Data Warehousing concepts and implementation on modern platforms (e.g., cloud data warehouses).
Ability to apply Data Analytics principles to support reporting, dashboards, and decision-making.
Proficiency in SQL and at least one programming language commonly used in data engineering (e.g., Python, Scala, or Java).
Experience with cloud data platforms and services (such as AWS, Azure, or GCP) and modern data stack tools.
Knowledge of data governance, security, privacy, and best practices for managing sensitive information.
Strong problem-solving, communication, and collaboration skills, with the ability to work effectively in cross-functional teams.
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.

Work arrangement
No