Data Engineer (AWS+Pyspark)

Job Summary:

We are seeking a skilled and proactive Data Engineer with 6–8 years of experience. The candidate should have intermediate-level expertise in AWS and PySpark, strong SQL skills, and a passion for building scalable data solutions. Power BI experience is a plus but not mandatory. We value team players who take initiative and are focused on delivering results.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines using PySpark and AWS services.
• Optimize and manage data workflows for performance and reliability.
• Write efficient and maintainable SQL queries for data extraction, transformation, and analysis.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Ensure data quality, integrity, and security across all stages of the pipeline.
• Participate in code reviews, testing, and documentation.
• Take ownership of tasks and drive them to completion with minimal supervision.

Contribute to continuous improvement initiatives and share knowledge with the team