Data Engineers: SQL Developers with Python

• Develop and optimize data pipelines using SQL and Python for efficient data extraction, transformation, and loading (ETL) processes.
• Write clean, efficient, and well-documented code to automate data workflows and integrate with various data sources.
• Monitor and troubleshoot database performance, ensuring optimal query execution and system reliability.
• Implement data governance and security practices to comply with organizational and regulatory standards.
• 5+ years of experience in data engineering with strong proficiency in SQL and Python.
• Hands-on experience with relational databases (e.g., Oracle, PostgreSQL) and NoSQL databases (e.g., Cassandra).
• Familiarity with ETL tools, data pipeline frameworks (e.g., Apache Airflow), and cloud platforms (AWS).
• Knowledge of data modeling, schema design, and performance optimization techniques.

Han Staffing