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.