Job Details

ID #2771146
State California
City Alameda
Full-time
Salary USD TBD TBD
Source Abbott
Showed 2019-10-12
Date 2019-10-13
Deadline 2019-12-11
Category Et cetera
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AWS Data Engineer

California, Alameda 00000 Alameda USA

Vacancy expired!

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 103,000 colleagues serve people in more than 160 countries.We are looking for a savvy Data Engineer responsible for expanding and optimizing our data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support the software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture through the ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing and redesigning our data architecture to support our next generation of products and data initiatives.Job Responsibilities

Create and maintain optimal data pipeline architecture.

Assemble large, complex data sets that meet functional / non-functional business requirements.

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery and re-designing infrastructure for greater scalability.

Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using compute technologies in the public clouds such as AWS and Azure.

Build analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency and other key business performance metrics.

Work with stakeholders including the Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

Keep our data separated and secure across national boundaries through multiple AWS regions.

Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

Work with data and analytics experts to strive for greater functionality in our data systems.

Preferred Qualifications

Working knowledge and experience with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

Experience building and optimizing big data pipelines, architectures and data sets.

Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

Strong analytic skills related to working with structured and unstructured datasets.

Build processes supporting data transformation, data structures, metadata, dependency and workload management.

Working knowledge of message queuing, stream processing, and scalable big data stores.

Experience supporting and working with cross-functional teams in a dynamic environment.

Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.

5-7 years of experience in the healthcare software industry

Experience using the following software/tools:

Big data tools: Hadoop, Spark, Kafka.

Data pipeline and workflow management tools.

AWS cloud services: Lambda, EC2, EMR, Redshift.

Stream-processing systems: Storm, Spark-Streaming.

Object-oriented/object function scripting languages: Python, Java, Scala.

Minimum Qualifications

Working knowledge and experience with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases

3+ years of experience in a data engineering role using big data technologies

Bachelors degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.

An Equal Opportunity EmployerAbbot welcomes and encourages diversity in our workforce.We provide reasonable accommodation to qualified individuals with disabilities.To request accommodation, please call 224-667-4913 or email corpjat@abbott.com

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