Data Engineer, Allergan Aesthetics, - #176075
Allergan Aesthetics
Date: 2 weeks ago
City: Irvine, CA
Contract type: Full time
Overview
Job Description
We are seeking a Data Engineer with experience in ETL, Snowflake, ThoughtSpot, and/or Power BI datasets to join our team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines and systems that enable our internal stakeholders to make data-driven decisions. This Data Engineer will report into the Sr. Solutions Engineer.
Major Responsibilities
Design and implement ETL processes to extract, transform, and load data from various sources into Snowflake.
Develop and maintain data models and schemas in Snowflake.
Build Power BI datasets and reports to provide data analysis and visualization capabilities to internal customers.
Design and build data pipelines and systems that process and transform large volumes of data efficiently.
Work with cross-functional teams to ensure successful implementation of solutions.
Monitor and optimize data pipelines and systems for performance and scalability.
Ensure data quality and integrity by implementing data validation and testing procedures.
Troubleshoot and resolve data-related issues and incidents in a timely manner.
Implement data governance policies and procedures to ensure data security, compliance, and privacy.
Continuously learn and keep up-to-date with new technologies and industry trends.
Job Description
We are seeking a Data Engineer with experience in ETL, Snowflake, ThoughtSpot, and/or Power BI datasets to join our team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines and systems that enable our internal stakeholders to make data-driven decisions. This Data Engineer will report into the Sr. Solutions Engineer.
Major Responsibilities
Design and implement ETL processes to extract, transform, and load data from various sources into Snowflake.
Develop and maintain data models and schemas in Snowflake.
Build Power BI datasets and reports to provide data analysis and visualization capabilities to internal customers.
Design and build data pipelines and systems that process and transform large volumes of data efficiently.
Work with cross-functional teams to ensure successful implementation of solutions.
Monitor and optimize data pipelines and systems for performance and scalability.
Ensure data quality and integrity by implementing data validation and testing procedures.
Troubleshoot and resolve data-related issues and incidents in a timely manner.
Implement data governance policies and procedures to ensure data security, compliance, and privacy.
Continuously learn and keep up-to-date with new technologies and industry trends.
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