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.
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