AWS data engineer

Minimum 6 years of hands-on experience in data engineering or big data development roles.
Strong programming skills in Python and experience with Apache Spark (PySpark preferred).
Proficient in writing and optimizing complex SQL queries.
Hands-on experience with Apache Airflow for orchestration of data workflows.
Deep understanding and practical experience with AWS services:
Data Storage & Processing: S3, Glue, EMR, Athena
Compute & Execution: Lambda, Step Functions
Databases: RDS, DynamoDB
Monitoring: CloudWatch
Experience with distributed data processing, parallel computing, and performance tuning.
Strong analytical and problem-solving skills.
Familiarity with CI/CD pipelines and DevOps practices is a plus.