AWS Cloud Data Engineer

• Proficiency with databases (e.g., Snowflake, DB2, Redshift) and dimensional modeling.
• Hands-on experience with AWS architecture and services (Lambda, Glue, Kinesis, Firehose, Athena, S3, Cloudwatch, Dynamodb, API Gateway).
• Proficient in Python, SQL, and scripting (e.g., Unix shell scripts).
• Experience building feature engineering pipelines.
• Experience with CI/CD tools such as GitHub, GitHub Actions, CodePipeline, and CloudFormation.
• Knowledge of user authentication and authorization across systems, servers, and environments.
• Experience with Tecton or Sagemaker or similar feature stores.
• Experience with NoSQL databases.
• Ability to take ownership and proactively ensure delivery timelines are met.

Good-to-Have Skills:

• Experience in data pipeline development using modern ETL tools, specifically Informatica PowerCenter and/or Informatica IICS.