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Company | AbbVie |
Address | Lake County, IL, United States |
Employment type | FULL_TIME |
Salary | |
Category | Biotechnology Research,Pharmaceutical Manufacturing |
Expires | 2023-08-25 |
Posted at | 9 months ago |
AbbVie Information Research is seeking a Data Engineer who would contribute to the architecture, design, and development of the Data & Analytics Platform supporting world-class research and development at AbbVie. As a Data Engineer, you will be a core member of a high-performance team of data engineers and architects focusing on driving technology innovation and continuous improvement. This role collaborates with solution architects, product owners, program managers, business analysts, infrastructure teams, and service providers to deliver the solutions.
Responsibilities:
Responsibilities:
- Learn and demonstrate mastery across a wide variety of data engineering activities, including data warehousing, master data management, data cataloging, system integration, data streaming, data visualization, data analysis, and data ops.
- Collaborate and contribute on prototype emerging business use cases to validate technology approaches and propose potential solutions.
- Ensure compliance with applicable AbbVie software development lifecycle policies and procedures.
- Demonstrate knowledge of pharmaceutical R&D/Life Science centric datasets and utilize this knowledge to advance agile, impactful, and cost-effective data solutions rapidly.
- Collaborate and contribute to team's methodology to conform and curate data, benchmarking against industry standards. Ensure that data are optimally standardized and analysis-ready.
- Collaborate & contribute to the architecture, design, development, and maintenance of large-scale data & analytics platforms, system integrations, data pipelines, data models & API integrations to support evolving business strategy.
- Collaborate and contribute on research and recommendations to adopt new technologies for continuous improvement.
- Experience working with Pharmaceutical R&D industry-centric datasets is preferred.
- Bachelor's degree with four years of IT experience
- Must have experience with data analysis programming languages (e.g., SQL, Python & Apache Spark, SAS & R)
- Experience with ETL/Orchestration tools (e.g., Informatica, Autosys, and Airflow, etc.)
- Must have experience with software development life cycle.
- Experience with database technologies (e.g., Oracle, Postgres, Hive, and HBase)
- Experience with AWS and Cloudera Public Cloud architecture is preferred.
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