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 115,000 colleagues serve people in more than 160 countries.

Job Description – Software Engineer II - Big Data

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 implementation of IT solutions for the business. Candidate will be working with other data engineers and data scientists to focus on applying data engineering, data science and machine learning approaches to solve business problems.

Candidate should be able to work on a distributed project team along with data scientists to develop data pipelines capable of handling complex data sets quickly and securely as well as operationalize data science solutions. Candidate will be working in a technology driven environment utilizing the latest tools and techniques such as Redshift, S3, Lambda, DynamoDB, Sparc and Python.

Job locations: Alameda, CA, Bend, OR; Orlando, FL

Responsibilities

• Collect and process raw data at scale for a variety of projects and initiatives.
• Create and maintain optimal data pipeline architecture by designing and implementing data ingestion solutions on AWS using AWS native services.
• Design and optimize data models on AWS Cloud using AWS data stores such as Redshift, RDS, S3.
• Integrate and assemble large, complex data sets that meet a broad range of business requirements.
• Design and develop data applications using selected tools and frameworks as required and requested for a variety of projects and initiatives.
• Read, extract, transform, stage and load data to selected tools and frameworks as required and requested.
• Monitoring and optimizing data performance.
• Customizing and managing integration tools, databases, warehouses, and analytical systems
• Process unstructured data into a form suitable for analysis and assist in analysis of the processed data.

• Working directly with the technology and engineering teams to integrate data processing and business objectives.
• Ensure performance, uptime, and scale, maintaining high standards of code quality and thoughtful design.

Required Qualifications

• Bachelors Degree in Computer Science, Information Technology or other relevant field.
• At least 1 to 3 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.
• Software development experience, ideally in Python, Spark, 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.
• Exposure to databases, BI applications, data quality and performance tuning.

• Excellent written, verbal and listening communication skills.

Preferred Qualifications

• Knowledge of or direct experience with the following AWS Services desired S3, RDS, Redshift, DynamoDB, EMR, Spark, and Lambda.
• Knowledge of or direct experience with Hadoop, Snowflake or BigQuery.
• Experience working in an agile environment.
• Practical Knowledge of Linux.

The salary for this role is between $56,700 – $113,300