Staff Data Engineer

October 14, 2024

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Abbott

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Abbott is a global healthcare company that focuses on developing and delivering innovative products and technologies for healthy living and prevention, diagnosis, and treatment of diseases. The company is involved in various aspects of healthcare including diagnostics, medical devices like the FreeStyle Libre continuous glucose monitoring systems, nutrition products, and branded generic pharmaceuticals. Abbott is known for its commitment to improving quality of life through life-changing health tech and sustainability initiatives. With partnerships like the Abbott-Real Madrid collaboration and sponsorship of the Abbott World Marathon Majors, Abbott combines excellence in science with community engagement.

Nutrition • Diagnostics • Medical Devices • Branded Generic Pharmaceuticals

10,000+ employees

Founded 1888

⚕️ Healthcare Insurance

🧬 Biotechnology

📋 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