Staff Data Engineer

October 14

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Abbott

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Nutrition • Diagnostics • Medical Devices • Branded Generic Pharmaceuticals

10,000+

Description

• Interested in applying your wealth of technical knowledge and experience towards an opportunity in the medical field and improving the lives of people with diabetes? • The candidate will be responsible for big data engineering, data wrangling, and data analysis in the Cloud. • The role will also contribute to defining and implementing Big Data Strategy for the organization along with driving the implementation of IT solutions for the business. • The candidate will be working with other data engineers, data analysts and data scientists to focus on applying data engineering, data science and machine learning approaches to solve business problems. • As a senior member of the Data Engineering & Analytics team, you will be building big data collection and analytics capabilities to uncover customer, product and operational insights. • Candidate should be able to work on a geographically distributed team to develop data pipelines capable of handling complex data sets quickly and securely as well as operationalize data science solutions. • Additionally, they will be working in a technology-driven environment utilizing the latest tools and techniques such as Databricks, Redshift, S3, Lambda, DynamoDB, Spark and Python. • The candidate should have a passion for software engineering to help shape the direction of the team. • Highly sought-after qualities include versatility and a desire to continuously learn, improve, and empower other team members. • Candidate will support building scalable, highly available, efficient, and secure software solutions for big data initiatives.

Requirements

• Bachelors Degree in Computer Science, Information Technology or other relevant field • At least 5 to 10 years of recent experience in Software Engineering, Data Engineering or Big Data • Ability to work effectively within a team in a fast-paced changing environment • Knowledge of or direct experience with Databricks and/or Spark. • Software development experience, ideally in Python, PySpark, Kafka or Go, and a willingness to learn new software development languages to meet goals and objectives. • Knowledge of strategies for processing large amounts of structured and unstructured data, including integrating data from multiple sources • Knowledge of data cleaning, wrangling, visualization and reporting • Ability to explore new alternatives or options to solve data mining issues, and utilize a combination of industry best practices, data innovations and experience • Familiarity of databases, BI applications, data quality and performance tuning • Excellent written, verbal and listening communication skills • Comfortable working asynchronously with a distributed team