Data Engineer

Qualifications

• Strong skills in Data Engineering and Data Warehousing to design, implement, and manage scalable data infrastructure.
• Experience in Data Modeling and Data Analytics to structure data for reporting and generate insights for business stakeholders.
• Hands-on expertise with Extract Transform Load (ETL) tools and frameworks to build reliable and efficient data pipelines.
• Proficiency with modern data platforms and databases (e.g., SQL, NoSQL, cloud data warehouses such as Snowflake, BigQuery, or Redshift).
• Experience with programming languages commonly used in data engineering (e.g., Python, Java, or Scala) and workflow/orchestration tools (e.g., Airflow).
• Knowledge of data governance, data quality, and security best practices in production environments.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
• Ability to work collaboratively with cross-functional teams, communicate clearly, and adapt to evolving business and technical requirements.