About this role
The team is seeking a skilled Data Engineer to join their dynamic team. In this role, you will be responsible for designing, developing, and maintaining scalable data pipelines and ETL processes that support various data initiatives.
Key Responsibilities:
- Design and implement robust ETL processes to handle large datasets.
- Collaborate with data scientists, analysts, and stakeholders to gather and understand data requirements.
- Ensure data quality and integrity through rigorous testing and validation procedures.
- Optimize and tune data processing systems for enhanced performance and scalability.
- Implement data governance and security best practices to protect sensitive information.
- Work with diverse data sources, including clinical trials and adverse event reporting.
Required Skills & Qualifications:
- Proficiency in data engineering tools and technologies such as Apache Spark, Hadoop, or similar frameworks.
- Strong experience with SQL and NoSQL databases.
- Familiarity with cloud platforms like AWS or Azure.
- Knowledge of data modeling, data warehousing, and data governance principles.
- Excellent problem-solving skills and the ability to work collaboratively in a team environment.
Experience:
- 5-8 years of experience in data engineering or a related field.
What we offer:
The team provides a collaborative work environment, opportunities for professional growth, and the chance to work on innovative projects that make a real impact in the industry.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.