Required Skills:
Advanced proficiency in Python, including libraries such as Pandas, PySpark, and boto3
Experience designing workflows in Apache Airflow (MWAA)
Hands-on experience with Amazon Redshift for analytics and data warehousing
Solid SQL skills and experience with data modeling and transformation
Comfortable with Amazon S3, including setting up data lake architecture
Familiar with AWS core services: EC2, S3, IAM, Lambda
Experience using AWS Secrets Manager and AWS KMS for secure data access
Strong understanding of batch processing (AWS Glue, EMR) and streaming (Kinesis)
Version control using Git
