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Cloud Engineer Senior
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- The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
- Design and implement scalable and reliable data pipelines within AWS cloud environments, leveraging technologies such as Snowflake, SQL Server, Oracle, Python, Apache Airflow, SSIS, DataStage, or Informatica.
- Develop and maintain ETL processes using Python, SSIS, DataStage or Informatica to extract data from various sources, transform it according to business rules, and load it into data warehouses or data lakes.
- Leverage AWS services (e.g., Amazon S3, RDS, Redshift, Lambda, Glue), and GCP to build and maintain a highly efficient data infrastructure.
- Strong experience with AWS cloud services related to data storage, processing, and analytics.
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