- 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.
- Bachelor's degree in Computer Science, Engineering, or related field
- 3+ years of experience in ETL, Snowflake, ThoughtSpot, and Power BI datasets
- Strong experience with SQL and data modeling
- Experience with cloud-based solutions (AWS, Azure, GCP) and infrastructure as code (IaC) tools such as Terraform or CloudFormation is a plus.
- Experience with Python, Glue, AWS Lambda, and real-time data integration.
- Strong problem-solving and analytical skills.
- Knowledge in DevOps principals and version control.
- Strong communication and interpersonal skills.
- Ability to work independently and as part of a team.
- The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
- We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
- This job is eligible to participate in our short-term incentive programs.
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Data Engineer, Allergan Aesthetics - Irvine, United States - Abbvie
Description
Company Description
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn.
Job Description
Overview:
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:
Qualifications
Education/Qualifications:
Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law.
AbbVie is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion. It is AbbVie's policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.
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