Data Engineer (Python + SQL)

Role & responsibilities

• 5+ years of professional experience in data engineering or a related field.
• Strong proficiency in SQL, including performance tuning and writing complex queries.
• Advanced Python skills, especially for data manipulation (e.g., Pandas, PySpark, or similar).
• Experience with data warehousing concepts and technologies (e.g., Snowflake, Redshift, BigQuery, etc.).
• Working knowledge of a BI tool such as Power BI, Tableau, or Looker.
• Solid understanding of data modeling, data lakes, and data pipelines.
• Familiarity with version control (e.g., Git) and CI/CD practices.
• Strong problem-solving skills and the ability to work independently or within a team.