· Proven experience as a Data Engineer, with a strong focus on AWS Redshift.
· Expertise in data modeling techniques and best practices.
· Experience with ETL tools and processes.
· Familiarity with data warehousing concepts and tools.
· Proficient in SQL and scripting languages such as Python or Java.
· Experience with other AWS services such as S3, Lambda, and Glue.
· Strong problem-solving skills and attention to detail.
· Excellent communication and collaboration skills to work effectively with team members and stakeholders.
· Certifications in AWS or data engineering (e.g., AWS Certified Big Data, AWS Certified Data Analytics) are a plus.
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