Abbott Laboratories - Alameda, CA
posted 2 months ago
As a Data Engineer at Abbott, you will play a crucial role in the development and optimization of data architecture and pipelines that support high-end analytics solutions. This position is part of the Lingo team, which focuses on innovative biosensing technology that empowers users to track key biomarkers and make informed health decisions. You will work closely with a multidisciplinary agile team to build high-quality data pipelines that generate insights from connected data, enabling data-driven decision-making across the organization. Your responsibilities will include designing, developing, optimizing, and maintaining data architecture and pipelines that adhere to ETL principles and align with business goals. You will tackle complex data problems to deliver insights that help the organization achieve its objectives. Proficiency in coding with Python and Scala, along with tools like Apache Spark and Kafka, will be essential as you build a multi-cluster data warehouse. You will also interact with other technology teams to define, prioritize, and ensure smooth deployments of operational components. In addition to technical skills, you will be expected to advise, consult, mentor, and coach other data and analytics professionals on data standards and practices. Fostering a culture of sharing, reuse, and operational efficiency will be key to your success in this role. You will also be responsible for codifying best practices for future reuse, creating accessible and reusable patterns, templates, and code bases to facilitate effective data capturing and management.