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Job Details
At Allergan Aesthetics, an AbbVie company, we develop, manufacture, and market a portfolio of leading aesthetics brands and products. Our aesthetics portfolio includes facial injectables, body contouring, plastics, skin care, and more. Our goal is to consistently provide our customers with innovation, education, exceptional service, and a commitment to excellence, all with a personal touch. For more information, visit https://global.allerganaesthetics.com/. Follow Allergan Aesthetics on LinkedIn.
Allergan Aesthetics Tech is a vibrant startup-minded organization with the backing of a large company. As a
Senior Data Engineer (Data Platform), your role entails working closely with various teams and leveraging your expertise in data engineering to create and sustain a resilient and high-performing data platform that caters to the organization's data requirements.
Responsibilities
- Design, develop, optimize, and maintain a Data Platform that enables teams to build complex batch and streaming processes for moving and transforming data across both operational and analytic systems
- Drive platform architecture decisions, lead design reviews, and collaborate with cross-functional partners (Product Managers, Data Scientists, Machine Learning Engineers, Software Engineers, Business teams) to build data products and enhance the data platform
- Contribute to the development and optimization of our Event Driven Architecture, adding new features, improving performance, and enhancing user experience
- Champion code quality, reusability, scalability, security and help make strategic architecture decisions
- Implement processes and tools to ensure data quality, enforce data governance policies, and uphold engineering best practices
- Develop APIs and Microservices to expose and integrate data products with software systems
- Completed BS, MS, or PhD in Computer Science, Engineering, or other related field
- 5+ years in data engineering building production-grade pipelines and platform capabilitiesacross batch and streaming
- Experience with various tools and technologies employed in Data Processing, Storage,Cataloging, Observability, and Governance
- Strong SQL and either Python or Typescript
- Experience in assessing and implementing new data tools and frameworks to enhance thedata engineering stack and developer experience
- In-depth knowledge of data platform development, data warehousing, and data integration
- Knowledge of DevOps principles, Infrastructure as Code (IaC), containers/Kubernetes, Git-based workflows and CI/CD
- Experience with architecting solutions on AWS or equivalent public cloud platforms.
- Experience with developing data APIs, Microservices, and event driven systems
- Experience with data pipeline orchestration tools (Airflow / Temporal)
- Strong interpersonal and verbal communication skills
Preferred Experience & Skills
- Building self-service platforms
- Ingestion/CDC/streaming: Kafka/MSK, Fivetran, Debezium
- Experience working with protected HIPAA / PHI data
- Data quality, lineage, and observability practices; incident response and reliability engineering
- Experience building ELT / ETL pipelines and data modeling
- Familiarity with Snowflake, RDS, dbt, Airflow, Temporal, Docker, Kubernetes, Terraform,DataDog, and Data Governance tools
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
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.
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 an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
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