Senior Data Engineer at Abbott Molecular
Overview
Lead the design and execution of data analytics projects that drive strategic decisions and operational improvements. You will transform raw data into actionable insights while collaborating with cross-functional teams. This role offers the opportunity to shape the future of data science and analytics within a dynamic organization.
What You'll Do11
- 1Build scalable data pipelines using Python and AWS to support real-time analytics
- 2Design and implement machine learning models to forecast trends and identify patterns
- 3Utilize Kubernetes and React to deploy and manage analytics applications
- 4Analyze large datasets to prepare structured and unstructured data for processing
- 5Develop advanced statistical analyses to uncover business-critical insights
- 6Drive operational improvements by identifying bottlenecks and optimizing workflows
- 7Collaborate with stakeholders to define project scope and deliver measurable outcomes
- 8Guide technical teams in applying predictive and prescriptive analytics techniques
- 9Communicate complex findings to non-technical audiences through intuitive visualizations
- 10Contribute to departmental processes and mentor junior engineers
- 11Validate analytical models and refine algorithms to enhance accuracy and performance
Requirements11
- 15+ years building ETL pipelines with Spark and Airflow
- 23-5 seasons leading data engineering initiatives
- 3Bachelor's Degree in Computer Science or related field
- 4Proficiency in Python with hands-on experience using Pandas
- 5Experience with cloud platforms like AWS and Azure
- 6Familiarity with SQL, R, and Java for data manipulation
- 7Strong understanding of statistical programming and mathematical modeling
- 8Exposure to healthcare or life sciences domains preferred
- 9Experience with version control using Git
- 10Familiarity with Power BI for data visualization
- 11Ability to work independently and drive projects from concept to delivery
Salary Insight
Salary not disclosed in listing
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