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 Git Hub, Git Hub Actions, Code Pipeline, and Cloud Formation.
Knowledge of user authentication and authorization across systems, servers, and environments.
Experience with Tecton or Sagemaker or similar feature stores.
Experience with No SQL 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 Power Center and/or Informatica IICS.

Aws cloud data engineer

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