Job Description: Senior Big Data Engineer

Employment Type: Full-time

Position Overview

Abbott, a global healthcare leader, is seeking a Senior Big Data Engineer to join their Data Engineering & Analytics team. This role offers an exciting opportunity to leverage technical expertise in the medical field, specifically focusing on improving the lives of people with diabetes. The successful candidate will be instrumental in big data engineering, data wrangling, and data analysis within the Cloud. This position will also contribute to defining and implementing the organization's Big Data Strategy and driving the implementation of IT solutions.

The role involves collaborating with data engineers, data analysts, and data scientists to apply data engineering, data science, and machine learning approaches to solve business challenges. As a senior member, you will build big data collection and analytics capabilities to uncover customer, product, and operational insights. You will work with a geographically distributed team to develop secure and efficient data pipelines capable of handling complex datasets and operationalizing data science solutions. This position utilizes cutting-edge tools and techniques such as Databricks, Redshift, S3, Lambda, DynamoDB, Spark, and Python.

We are looking for candidates with a passion for software engineering to help shape the team's direction. Versatility, a desire for continuous learning and improvement, and the ability to empower team members are highly sought-after qualities. The candidate will support the development of scalable, highly available, efficient, and secure software solutions for big data initiatives.

Responsibilities

• Design and implement data pipelines for processing and visualization across various projects and initiatives.
• Develop 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 Databricks and AWS data stores such as Redshift, RDS, and S3.
• Integrate and assemble large, complex datasets to meet a broad range of business requirements.
• Read, extract, transform, stage, and load data to selected tools and frameworks as required.
• Customize and manage integration tools, databases, warehouses, and analytical systems.
• Process unstructured data into a form suitable for analysis and assist in the analysis of processed data.
• Work directly with technology and engineering teams to integrate data processing and business objectives.
• Monitor and optimize data performance, uptime, and scale; maintain high standards of code quality and thoughtful design.
• Create software architecture and design documentation for supported solutions, including best practices and patterns.
• Support the team with technical planning, design, and code reviews, including peer code reviews.
• Provide architecture and technical knowledge training and support for solution groups.
• Develop good working relations with other solution teams and groups, such as Engineering, Marketing, Product, and QA.
• Stay current with emerging trends, making recommendations to help the organization innovate.
• Proactively plan complex projects from scope/timeline development through technical design and execution.
• Demonstrate leadership through mentoring other team members.

Required Qualifications

• Bachelor's 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.

Company Information

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 114,000 colleagues serve people in more than 160 countries.