AWS Data Engineer

Job Description

Key Responsibilities: Lead and manage cross-functional data engineering teams for successful delivery of data initiatives. Architect, design, and implement scalable and efficient data pipelines and ETL workflows. Develop high-quality, reusable code using Python and SQL for data processing and transformation. Build and maintain cloud-based data infrastructure primarily on AWS and Redshift , with exposure to Snowflake . Collaborate with stakeholders to gather requirements and deliver impactful data solutions. Maintain and improve the architecture of the data warehouse and production data systems. Provide technical leadership, mentorship, and best practices in data engineering. Ensure data quality, governance, and security standards are upheld. Troubleshoot data-related issues and support data operations as needed. Required Qualifications: Bachelors or Master s degree in Computer Science, Information Technology, or related field. 8+ years of experience in data engineering or related fields. Strong proficiency in Python , SQL , Amazon Redshift , and AWS ecosystem (e.g., S3, Lambda, Glue). Experience with Snowflake or other cloud data warehouse platforms is a strong plus. Demonstrated experience in leading teams and managing end-to-end data projects. Strong problem-solving skills and experience with complex data architectures. Excellent verbal and written communication skills. Familiarity with big data tools and frameworks is a plus (e.g., Spark, Hadoop). Ability to work independently as well as collaboratively in a team environment