Senior Data Engineer

Roles and Responsibility

• Design and develop large-scale data pipelines using SQL, Python, and PySpark.
• Collaborate with cross-functional teams to identify and prioritize project requirements.
• Develop and maintain complex data architectures and systems.
• Ensure data quality and integrity by implementing robust testing and validation procedures.
• Optimize data processing workflows for improved performance and efficiency.
• Participate in code reviews and contribute to the improvement of the overall codebase.

Job Requirements

• Strong proficiency in SQL, Python, PySpark, and cloud platforms such as Snowflake or AWS.
• Experience with big data technologies and tools is desirable.
• Excellent problem-solving skills and attention to detail are required.
• Strong communication and collaboration skills are essential.
• Ability to work in a fast-paced environment and meet deadlines.
• A strong understanding of data engineering principles and practices is necessary.